{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Kats 202 - Detection with Kats\n",
    "\n",
    "This tutorial will introduce detection in Kats, including change point detection, outlier detection, and trend detection.  It is a more detailed and in-depth introduction than the one provided in Kats 101.  The table of contents for Kats 202 is as follows:\n",
    "\n",
    "1. Changepoint Detection      \n",
    "    1.1 CUSUMDetector      \n",
    "    1.2 BOCPDetector      \n",
    "    1.3 RobustStatDetector      \n",
    "    1.4 Comparing the Changepoint Detectors      \n",
    "2. Outlier Detection      \n",
    "    2.1 OutlierDetector      \n",
    "    2.2 MultivariateAnomalyDetector      \n",
    "3. Trend Detection      \n",
    "    3.1 MKDetector      \n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Note:** We provide two types of tutorial notebooks\n",
    "- **Kats 101**, basic data structure and functionalities in Kats (this tutorial)  \n",
    "- **Kats 20x**, advanced topics, including advanced forecasting techniques, advanced detection algorithms, `TsFeatures`, meta-learning, etc. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<module 'logging' from '/opt/anaconda3/lib/python3.8/logging/__init__.py'>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import logging\n",
    "from imp import reload\n",
    "from datetime import datetime, timedelta\n",
    "import sys\n",
    "sys.path.append(\"../\")\n",
    "\n",
    "from kats.consts import TimeSeriesData\n",
    "reload(logging)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1. Changepoint Detection <a class=\"anchor\" id=\"kats_basics\"></a>\n",
    "\n",
    "Changepoint detection tries to identify times when the probability distribution of a stochastic process or time series changes, e.g. the change of mean in a time series. It is one of the most popular detection tasks in time series analysis. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **1.1 `CUSUMDetector`**\n",
    "\n",
    "\n",
    "CUSUM is a method to detect an up/down shift of means in a time series. Our implementation has two main steps:\n",
    "\n",
    "\n",
    "1. **Locate the change point:** This is an iterative process where we initialize a change point (in the middle of the time series) and CUSUM time series based on this change point. The next changepoint is the location where the previous CUSUM time series is maximized (or minimized). This iteration continues until either 1) a stable changepoint is found or 2) we exceed the limit number of iterations.\n",
    "2. **Test the change point for statistical significance:** Conduct log likelihood ratio test to test if the mean of the time series changes at the changepoint calculated in Step 1. The null hypothesis is that there is no change in mean.\n",
    "\n",
    "By default, we report a detected changepoint if and only if we reject the null hypothesis in Step 2.  If we want to see all the changepoints, we can use the `return_all_changepoints` parameter in `CUSUMDetector` and set it to `True`.\n",
    "\n",
    "Here are a few additional points worth mentioning:\n",
    "\n",
    "* We assume there is at most one increase change point and at most one decrease change point. You can use the `change_directions` argument in the detector to specify whether you are looking an increase, a decrease, or both (default is both).\n",
    "* We use Gaussian distribution as the underlying model to calculate the CUSUM time series value and conduct the hypothesis test.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The full set of parameters for the `detector` method in `CUSUMDetector`, all of which are optional and have default values, are as follows: \n",
    "* **threshold**: float, significance level;\n",
    "* **max_iter**: int, maximum iteration in finding the changepoint;\n",
    "* **delta_std_ratio**: float, the mean delta has to be larger than this parameter times std of the data to be considered as a change;\n",
    "* **min_abs_change**: int, minimal absolute delta between mu0 and mu1\n",
    "* **start_point**: int, the start idx of the changepoint, None means the middle of the time series;\n",
    "* **change_directions**: list\\[str], a list contain either or both 'increase' and 'decrease' to specify what type of change to be detected;\n",
    "* **interest_window**: list\\[int, int], a list containing the start and end of the interest window where we will look for a change point. Note that the llr will still be calculated using all data points;\n",
    "* **magnitude_quantile**: float, the quantile for magnitude comparison, if none, will skip the magnitude comparison;\n",
    "* **magnitude_ratio**: float, comparable ratio;\n",
    "* **magnitude_comparable_day**: float, maximal percentage of days can have comparable magnitude to be considered as regression;\n",
    "* **return_all_changepoints**: bool, return all the changepoints found, even the insignificant ones."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Review Basic Usage"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We begin by reviewing the basic usage of `CUSUMDetector` from the Kats 101 tutorial.  This simple example is the same one we first introduced there."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import packages\n",
    "from kats.detectors.cusum_detection import CUSUMDetector\n",
    "\n",
    "# synthesize data with simulation\n",
    "np.random.seed(10)\n",
    "df_increase_decrease = pd.DataFrame(\n",
    "    {\n",
    "        'time': pd.date_range('2019-01-01', periods=60),\n",
    "        'increase':np.concatenate([np.random.normal(1,0.2,30), np.random.normal(2,0.2,30)]),\n",
    "        'decrease':np.concatenate([np.random.normal(1,0.3,50), np.random.normal(0.5,0.3,10)]),\n",
    "    }\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "tsd = TimeSeriesData(df_increase_decrease.loc[:,['time','increase']])\n",
    "detector = CUSUMDetector(tsd)\n",
    "change_points = detector.detector(change_directions=[\"increase\"])\n",
    "\n",
    "plt.xticks(rotation=45)\n",
    "detector.plot(change_points)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "tsd = TimeSeriesData(df_increase_decrease.loc[:,['time','decrease']])\n",
    "detector = CUSUMDetector(tsd)\n",
    "change_points = detector.detector(change_directions=[\"decrease\"])\n",
    "\n",
    "plt.xticks(rotation=45)\n",
    "detector.plot(change_points)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Interpret the result"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If we do not specify which change directions we are looking for using the `change_directions` parameter, `CUSUMDetector` will look for both increases and decreases. In the case below where there is only an increase, it will detect that increase."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "tsd = TimeSeriesData(df_increase_decrease.loc[:,['time','increase']])\n",
    "detector = CUSUMDetector(tsd)\n",
    "change_points = detector.detector()\n",
    "\n",
    "plt.xticks(rotation=45)\n",
    "detector.plot(change_points)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's take a look at how we can interpret the results of the `CUSUMDetector`.  The return type of the `detector` method is `List[CUSUMChangePoint]`. Most `detector` methods in Kats return this same structure, but some use a subclass of `TimeSeriesChangePoint` with additional information specific to that detector."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CUSUMChangePoint(start_time: 2019-01-30 00:00:00, end_time: 2019-01-30 00:00:00, confidence: 1.0, direction: increase, index: 29, delta: 0.9837320835853411, regression_detected: True, stable_changepoint: True, mu0: 1.0395982783530555, mu1: 2.0233303619383967, llr: 128.93223399207324, llr_int: inf, p_value: 0.0, p_value_int: nan)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get the change point, since we only detected one change point \n",
    "# We can access it with change_points[0] because we only found one change point above\n",
    "change_point = change_points[0]\n",
    "change_point"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's look at the additional attributes of `CUSUMChangePoint` beyond those of `TimeSeriesChangePoint`:\n",
    "* **direction**: str, the change point direction, either 'increase' or 'decrease';\n",
    "* **cp_index**: int, the index of the change point;\n",
    "* **mu0**: float, mean before the change point;\n",
    "* **mu1**: float, mean after the change point;\n",
    "* **delta**: float, mu1 - mu0;\n",
    "* **llr_int**: float, the log likelihood ratio in interest window, or `inf` if not using an interet window;\n",
    "* **llr**: float, the log likelihood ratio for the full time series;\n",
    "* **regression_detected**: bool, is the change point detected by the algorithm (only relevant when `return_all_changepoints=True`);\n",
    "* **stable_changepoint**: bool, indicates whether the algorithm converged to this point (rather than hitting the iteration limit);\n",
    "* **p_value**: float, p-value for the likelihood ratio test;\n",
    "* **p_value_int**: float, p-value for the likelihood ratio test in interest_window, or `nan` if not using an interest window."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will explain interest windows in the next section, but for now, notice that since we are not using the `interet_window` parameter in `CUSUMDetector`, the metadata values of `llr_int` and `p_value_int` are `inf` and `nan` respectively.  These values will be populated properly only when we use the `interet_window` parameter in `CUSUMDetector`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Introducing Interest Windows\n",
    "\n",
    "Sometimes we want to look for a changepoint in a specific window, which we call an interest window and can be specified using the `interest_window` paramter in `CUSUMDetector`.  Here is what the detector essentially does when using an interest window:\n",
    "\n",
    "1. Do both of the major aforementioned steps of CUSUM (locate the change point and test for signifiance) when only considering the data within the `interest_window`.  By default, continue only if we find a changepoint and reject the null hypothesis.\n",
    "2. Do an additional test for statistical significance on the changepoint found in step 1 using the entire input time series (not just the restriction to `interest_window`).  By default, return this changepoint only if we reject the null hypothesis (unless we set the parameter `return_all_changepoints` to `True`).\n",
    "\n",
    "Since the `CUSUMDetector` can only return one change point in each direction, we can use the `interest_window` parameter narrow the search window in the case that the input time series contains multiple change points.  However, the change point point we return must pass the likelihood ratio test for the entire time series (step 2 above) in addition to passing the likelihood ratio test within the interest window (step 1 above)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's return to the first example where we used `CUSUMDetector` to detect an increase.  If we set the `interest_window` to a window that contains the change point that we found above, we will find it again."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# limit the interest_window between 20th and 40th data point\n",
    "tsd = TimeSeriesData(df_increase_decrease.loc[:,['time','increase']])\n",
    "detector = CUSUMDetector(tsd)\n",
    "change_points = detector.detector(interest_window=[20,40])\n",
    "\n",
    "plt.xticks(rotation=45)\n",
    "detector.plot(change_points)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If we set the `interest_window` to a window that does not find any change point, we will return no change point."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:root:No change points detected!\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# limit the interest_window to last 20 the datapoint and no change point detected\n",
    "tsd = TimeSeriesData(df_increase_decrease.loc[:,['time','increase']])\n",
    "detector = CUSUMDetector(tsd)\n",
    "change_points = detector.detector(interest_window=[40,60])\n",
    "\n",
    "plt.xticks(rotation=45)\n",
    "detector.plot(change_points)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Daily Seasonality with Interest Windows"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If we are using an interest window in a time series with seasonality, we can get a false positive.  Here we show how this happens and how we can address the problem.  Let's start by generating a time series with seasonality.  We use a method from our test functions in `CUSUMDetectorTest` to simulate the data or this problem."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "from kats.tests.detectors.test_cusum_detection import CUSUMDetectorTest\n",
    "\n",
    "# Here's where we load the seasonal data\n",
    "np.random.seed(1)\n",
    "periodicity=24\n",
    "total_cycles=3\n",
    "seasonal_term = CUSUMDetectorTest.simulate_seasonal_term(\n",
    "    periodicity=periodicity, total_cycles=total_cycles, noise_std=3, harmonics=2\n",
    ")\n",
    "seasonal_term = seasonal_term / seasonal_term.std() * 2\n",
    "residual = np.random.normal(0, 1, periodicity * total_cycles)\n",
    "data = seasonal_term + residual\n",
    "data -= np.min(data)\n",
    "\n",
    "# Load the data into a DataFrame and a TimeSeriesData\n",
    "df_seasonality = pd.DataFrame(\n",
    "    {\n",
    "        \"time\": pd.date_range(\n",
    "            \"2020-01-01\", periods=periodicity * total_cycles, freq=\"H\"\n",
    "        ),\n",
    "        \"seasonality\": data,\n",
    "    }\n",
    ")\n",
    "ts_seasonality = TimeSeriesData(df_seasonality)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When we do detection using the interest window below, we get a false positive.  It is clear that the change point detected below is not a changepoint with respect to an entire series.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "detector = CUSUMDetector(ts_seasonality)\n",
    "\n",
    "# Without magnitude comparison\n",
    "change_points = detector.detector(\n",
    "    interest_window=[\n",
    "        periodicity * (total_cycles - 1),\n",
    "        periodicity * total_cycles - 1,\n",
    "    ],\n",
    "    change_directions=[\"increase\"],\n",
    ")\n",
    "\n",
    "plt.xticks(rotation=45)\n",
    "detector.plot(change_points)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can mitigate false positives here by comparing the magnitude of the time series in the interest window to compare the magnitude of the time series in the interest window to the magnitude of the the time series prior to the interest window.  We need three additional parameters to do this: `magnitude_quantile`, `magnitude_comparable_day`, and `magnitude_ratio`.\n",
    "\n",
    "Here is the procedure for using these parameters to restrict the number of false positives when detecting an increase (when looking for decreases, the time series values are multipled by -1 prior to using this procedure):\n",
    "\n",
    "1) Calculate the `magnitude_quantile` percentile of the timeseries within the `interest_window`.  Call this value `p`    \n",
    "2) Calculate the `magnitude_quantile` percentile over a sliding window of length equal to the length of `interest_window` in the time series prior to `interest_window`.  Count the proportion of intervals for which this percentile is smaller than `p / magnitude_ratio`.  Include this changepoint if and only if this proportion of days exceeds `magnitude_comparable_day`.\n",
    "\n",
    "The values of `magnitude_comparable_day` and `magnitude_ratio` are 0.5 and 1.3 by default, and we only include them below for readability.    When the `magnitude_quantile` is not included as a paramter, we are not doing a magnitude ratio comparison.  Below we have `magnitude_quantile =1` which means the value of `p` in step 1 above is equal to the maximium value of the time series over the `interest_window`.  Then based on the parameters we are using, we will keep a changepoint detected in `interest_window` only if at least half of the intervals prior to `interest_window` with the same length as `interest_window` have a maximum value not exceeding `p/1.3`.\n",
    "\n",
    "As we see below, adding this additional restriction on the change points we detect removes the false positive."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:root:No change points detected!\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "detector = CUSUMDetector(ts_seasonality)\n",
    "\n",
    "\n",
    "# With magnitude comparison, seasonal false positive not detected\n",
    "change_points = detector.detector(\n",
    "    interest_window=[\n",
    "        periodicity * (total_cycles - 1),\n",
    "        periodicity * total_cycles - 1,\n",
    "    ],\n",
    "    magnitude_quantile=1, # enable magnitude comparison\n",
    "    magnitude_comparable_day=0.5, # this is the default value\n",
    "    magnitude_ratio=1.3, # this is the default value\n",
    "    change_directions=[\"increase\"],\n",
    ")\n",
    "\n",
    "plt.xticks(rotation=45)\n",
    "detector.plot(change_points)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Detecting Multiple Change Points with Interest Windows\n",
    "In most use cases, there are more than one change point, and you might want to monitor the regressions continuously. Here shows how can we achieve detecting multiple change points over time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# synthesize data with simulation\n",
    "np.random.seed(10)\n",
    "df_multi_cps = pd.DataFrame(\n",
    "    {\n",
    "        'time': pd.date_range('2019-01-01', periods=100),\n",
    "        'y':np.concatenate([\n",
    "            np.random.normal(1, 0.2, 30), \n",
    "            np.random.normal(2, 0.2, 30),\n",
    "            np.random.normal(0, 0.2, 20),\n",
    "            np.random.normal(3, 1, 20),\n",
    "        ]),\n",
    "    }\n",
    ")\n",
    "multi_cp_ts = TimeSeriesData(df_multi_cps)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Iterate through the time series using a sliding window, and partition each sliding window into a historical window and a scan window.  The length of each sliding window then will be `historical_window + scan_window`, where `historical_window` and `scan_window` are chosen suitably for the time series being considered.  Run `CUSUMDetector` on the sliding window with the scan window as the interest window.  Repeat and collect all changepoints until the sliding window reaches the end of the time series."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "historical_window = 20\n",
    "scan_window = 10\n",
    "step = 5\n",
    "changepoints = []\n",
    "n = len(df_multi_cps)\n",
    "for end_idx in range(historical_window + scan_window, n, step):\n",
    "    tsd = multi_cp_ts[end_idx - (historical_window + scan_window) : end_idx]\n",
    "    changepoints += CUSUMDetector(tsd).detector(interest_window=[historical_window, historical_window + scan_window])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can plot the results.  To use the `plot` method in `CUSUMDetector`, we need to initiate a new `CUSUMDetector` over the entire `multi_cp_ts` and call the `detector` method, but actually using this new detector for anything."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the results\n",
    "detector = CUSUMDetector(multi_cp_ts) # we are not really using this detector\n",
    "detector.detector() # this call to detector is not being used for anything\n",
    "\n",
    "plt.xticks(rotation=45)\n",
    "detector.plot(changepoints)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **1.2 BOCPDetector**\n",
    "\n",
    "Bayesian Online Change Point Detection (BOCPD) is a method for detecting sudden changes in a time series that persist over time. Our implementation is faithful to [\"Bayesian Online Changepoint Detection\"](https://arxiv.org/abs/0710.3742) (Adams & McKay, 2007).  There are a coupple properties that distinguish BOCPD from the other change point detection methods supported in Kats:\n",
    "\n",
    "* **Online Model:** This detection does not need to know the entire series apriori.  It only need to look a few steps ahead (specified by the `lag` parameter in the `detector` method) to make predictions, and it revises its predictions as new data arrives.  \n",
    "* **Bayesian Model:** The user can specify prior beliefs about the probability of a changepoint (using the `changepoint_prior` paremeter in the `detector` method) and specify the the parameters of the underlying probability model that generates the time series (using the `model_parameters` parameter in the `detector` method).  Right now we support 3 diferent types of underlying probability models (specified using the `model` parameter in the `detector` method).\n",
    "\n",
    "The basic idea of this detection method is uses Bayesian inference to decide if the next point is improbable.  This requires the user to specify (or use default values for) the **probability of a change point** and **underlying predictive model (UPM)** that generates the incoming data points in the time series.  Currently we support three different types of underlying models:\n",
    "1. Normal Distribution (unknown mean, known variance)    \n",
    "2. Trend Change Distribution    \n",
    "3. Poisson Process Model    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The full set of parameters for the `detector` method in `BOCPDetector`, all of which are optional and have default values, are as follows: \n",
    "\n",
    "* **model**: This specifies the underlying probabilistic model (UPM) that generates the data within each segment.  Currently, allowed models are:\n",
    "    * NORMAL_KNOWN_MODEL: Normal model with variance known. Use this to find level shifts in normally distributed data.\n",
    "    * TREND_CHANGE_MODEL : This model assumes each segment is generated from ordinary linear regression. Use this model to understand changes in slope, or trend in time series.\n",
    "    * POISSON_PROCESS_MODEL: This assumes a Poisson generative model. Use this for count data, where most of the values are close to zero.\n",
    "\n",
    "* **model_parameters**: Model Parameters correspond to specific parameters for a specific model. They are defined in the NormalKnownParameters, TrendChangeParameters, PoissonModelParameters classes.\n",
    "\n",
    "* **lag**: integer referring to the lag in reporting the changepoint. We report the changepoint after seeing \"lag\" number of data points. Higher lag gives greater certainty that this is indeed a changepoint. Lower lag will detect the changepoint faster. This is the trade-off.\n",
    "\n",
    "* **changepoint_prior**: This is a Bayesian algorithm. Hence, this parameter specifies the prior belief on the probability that a given point is a changepoint. For example, if you believe 10% of your data will be a changepoint, you can set this to 0.1.\n",
    "\n",
    "* **threshold**: We report the probability of observing the changepoint at each instant. The actual changepoints are obtained by denoting the points above this threshold to be a changepoint.\n",
    "\n",
    "* **debug**: This surfaces additional information, such as the plots of predicted means and variances, which allows the user to see debug why changepoints were not properly detected."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Note:** When using the normal distribution for a UPM, there are two ways to pick the prior parameters:      \n",
    "* Use an empirical prior and estimate the parameters from the data (set attribute `empirical=True` in `NormalKnownParameters`)           \n",
    "* Specify the mean and precision of the distribution "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Basic Usage\n",
    "Here we show the basic usage of `BOCPDetector` to detect mean shift."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We begin by simulating some data with some change points using the `Simulator` class."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='time'>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from kats.utils.simulator import Simulator\n",
    "\n",
    "sim = Simulator(n=450, start='2020-01-01', freq='H')\n",
    "ts_bocpd = sim.level_shift_sim(noise=0.05, seasonal_period=1)\n",
    "\n",
    "# plot the simulated data\n",
    "ts_bocpd.plot(cols=['value'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we run BOCPD to find the change points in this simulated time series"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from kats.detectors.bocpd import BOCPDetector, BOCPDModelType, TrendChangeParameters\n",
    "\n",
    "# Initialize the detector\n",
    "detector = BOCPDetector(ts_bocpd)\n",
    "\n",
    "\n",
    "changepoints = detector.detector(\n",
    "    model=BOCPDModelType.NORMAL_KNOWN_MODEL # this is the default choice\n",
    ")\n",
    "\n",
    "# Plot the data\n",
    "plt.xticks(rotation=45)\n",
    "detector.plot(changepoints)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Interpret the results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The return type of the `detector` method is `List[BOCPDChangePoint]`.  Let's see what that looks like for one of the change points detected above."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "BOCPDChangePoint(start_time: 2020-01-05T03:00:00.000000000, end_time: 2020-01-05T03:00:00.000000000, confidence: 0.9752663452994146, model: <BOCPDModelType.NORMAL_KNOWN_MODEL: 1>, ts_name: value)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cp = changepoints[0]\n",
    "cp"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The additional attributes of `BOCPDChangePoint` beyond those of `TimeSeriesChangePoint` are:\n",
    "* **detector_type:** This will always be `kats.detectors.bocpd.BOCPDetector`\n",
    "* **model:** The type of the underlying predictive model, either `NORMAL_KNOWN_MODEL`, `TREND_CHANGE_MODEL`, or `POISSON_PROCESS_MODEL`\n",
    "* **ts_name**: the name of the time series\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **1.3 RobustStatDetector**\n",
    "\n",
    "`RobustStatDetector`, like `CUSUMDetector`, is a change point detection algorithms that finds mean shifts.  It works as follows:\n",
    "1. Smooth the time series using a moving average\n",
    "2. Calculate the differences in the smoothed time series over a fixed number of points (specified by the `comparison_window` parameter in the `detector` method).\n",
    "3. Calculate the z-scores and p-values for the differences calculated in step 2.  Return points where the p-value is smaller than a prescribed threshold (specified by the `p_value_cutoff` parameter in the dtector method`)\n",
    "\n",
    "Unlike `CUSUMDetector`, `RobustStatDetector` can detect multiple change points in a single run.  After a basic example, we will show an example with multiple change points."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The full set of parameters for the `detector` method in `RobustStatDetector`, all of which are optional and have default values, are as follows: \n",
    "* **p_value_cutoff**: float, the p-value threshold to flag the change point; \n",
    "* **smoothing_window_size**: int, the length of the smoothing window;\n",
    "* **comparison_window**: int, the step of the diff function, i.e. how many data points you want the algorithm look back to make the comparison."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Basic Usage"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We start by showing how to use `RobustStatDetector` using the same example we initially provided for `CUSUMDetector`.  The usage is straightforward."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# import package\n",
    "from kats.detectors.robust_stat_detection import RobustStatDetector\n",
    "\n",
    "tsd = TimeSeriesData(df_increase_decrease.loc[:,['time','increase']])\n",
    "detector = RobustStatDetector(tsd)\n",
    "change_points = detector.detector()\n",
    "\n",
    "plt.xticks(rotation=45)\n",
    "detector.plot(change_points)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The return type of the `detector` method is `List[RobustStatChangePoint]`.  Let's see what that looks like the change point detected above."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "TimeSeriesChangePoint(start_time: 2019-01-31T00:00:00.000000000, end_time: 2019-01-31T00:00:00.000000000, confidence: 0.9932728251020368, metric: -0.32345014754902635, index: 30)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "change_point = change_points[0]\n",
    "change_point"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The attributes of `RobustStatChangePoint` beyond those of `TimeSeriesChangePoint` are:\n",
    "* **metric:** The raw value of the metric at the time of the change point  \n",
    "* **index:** The index of the change point"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Multiple Changepoints\n",
    "The `RobustStatDetector` can detect multiple change points in one time series by one run. One caution here is that the algorithm will use the full time series to compute the z-score, which means it might impact which change points are detected, e.g. it might not be able to detect a smaller change when there is a bigger change in the time series."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ts_bocpd = TimeSeriesData(ts_bocpd.to_dataframe())\n",
    "detector = RobustStatDetector(ts_bocpd)\n",
    "changepoints = detector.detector(p_value_cutoff = 5e-3, comparison_window=2)\n",
    "\n",
    "# plot the results\n",
    "plt.xticks(rotation=45)\n",
    "detector.plot(changepoints)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAWoAAAEfCAYAAABoN4yRAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAAsTAAALEwEAmpwYAABGYUlEQVR4nO2dd3xcV5n3v2eaRrKarS7LvcTdKU6cOAkhPSGBQCCBZIGlZuGls8BSF14Wll3qsiy8S2ihJpRQ0kMCISHFTmwn7iW23FQsq3dp2nn/uHOnz+hKmio938/HH1t37tx57onyu8/8zvOco7TWCIIgCPmLLdcBCIIgCKkRoRYEQchzRKgFQRDyHBFqQRCEPEeEWhAEIc8RoRYEQchzHJm4aHV1tV68eHEmLi0IhcuhQ8bfZ52V2ziyTbrue7rXyfPx37FjR5fWuibRaxkR6sWLF7N9+/ZMXFoQCpdXvtL4+29/y2UU2Sdd9z3d6+T5+CulTiR7TawPQRCEPEeEWhAEIc8RoRYEQchzRKgFQRDyHEuTiUqp48Ag4Ad8WutNmQxKEARBCDOZqo/LtdZdGYtEEARBSIhYH4IgCHmOVaHWwJ+VUjuUUnckOkEpdYdSartSantnZ2f6IhQEoWDRWnOsa5jBMV+uQylorAr1xVrrc4HrgfcppV4Re4LW+k6t9Sat9aaamoTNNYIgzDJ8AU3HwBitfaO5DqWgsSTUWuu24N9ngD8AF2QyKEEQZgb+gLGDVP+ol95hT46jKVwmFGql1BylVJn5b+AaYG+mAxMEofDxBYVaa80j+07nOJrCxUpGXQc8rZTaBTwPPKi1fiSzYQmCMBPw+8N7st6/qy2HkRQ2E5bnaa2bgY1ZiEUQhBmGLxAAwGm3sbW5mzODY9SWuXMcVeEh5XmCIGQM06OuKnUR0PDwHrE/poIItSAIGcP0qEtcDlbVl4n9MUVEqAVByBhmRq2AGzc0sP1EL21SqjdpRKgFQcgYZkatFNy4oRGAh/a05zKkgkSEWhCEjOHzB4L/UiyunkNliZOTPSM5jakQEaEWBCFjRGbUAC67DW9IvAWriFALgpAxIj1qMMr0PD6d/A1CQkSoBUHIGLEZtdOuQrXVgnVEqAVByBj+oCiroFI7xfqYEiLUgiBkDJ9frI90IEItCELG8MdaHw7JqKeCCLUgCBkj5FEHc2qXXYlQTwERakEQMkZsRu2wSUY9FUSoBUHIGL7Y8jyHDa9fPOrJIkItCELGMKs+zJRarI+pIUItCELGiMuopTxvSohQC4KQMULleaGGF7E+poIItSAIGSO26sOoo5aMerKIUAuCkDHCnYnGzy6HeNRTQYRaEISMEbvWh5TnTQ0RakEQMkai1fN84lFPGhFqQRAyRngyMehROxQeyagnjQi1IAgZw8yoTWTjgKkhQi0IQsYwPWpbRHleQMcLuJAaEWpBEDJGqDMxojwPkKx6kohQC4KQMRLt8AKITz1JRKgFQcgYiao+ALzS9DIpRKgFQcgYXr8OVXxAWKh9WfCoW3pHuPIbf6OtbzTjn5VpLAu1UsqulHpRKfVAJgMSBGHm4A8EUBE/h6yPLGTUL58Z4mjnMHtb+zP+WZlmMhn1h4ADmQpEEISZhy+giUiocTmyN5loPgw6h8Yz/lmZxpJQK6WagBuAH2Y2HEEQZhL+QGLrIxsr6JkPg87BWSLUwH8BnwBkBkAQBMv4AjrG+sh+Rn1mNgi1UupG4IzWescE592hlNqulNre2dmZtgAFQShc/H5NpFI7slieF7I+ZoNQAxcDr1FKHQfuAa5QSv0i9iSt9Z1a601a6001NTVpDlMQhELEyKjDSu3KYnme+TCYFRm11vpTWusmrfVi4E3AX7XWb854ZIIgFDz+QCBqMjGb5XlmRt01RaH+6G9e4nc7WtIZ0pSROmpBEDJGvEedResjYjJR68k9GPa09PP7na08dTg/bNxJCbXW+m9a6xszFYwgCDMLf0x5XjY7E82M2uMP0D/qndR7f/X8SQAGxyb3vkwhGbUgCBkjzqN2ZK88L7KpZjITikPjPu57qRWAwTFfynOPdg7x0qm+KcU3GUSoBUHIGD5/tEftCK53ms3yPJicUN+/q41hj5/GCveEQv0fDx/kk/funnKMVhGhFgQhYySro86GRx35MJhM5cfdz59kVX0ZFy2rntD6aOkdZdiTWszTgQi1IAgZI7Yz0bQ+srFvoscfoNhpB6xn1Htb+9nd0s9tFyykzO2YMKM+3T/KuDfzDx0RakEQMkZsGV42OxPHfQHmzXHhdto4Mzhm6T13P3+SIoeN154zn3K3gyGPj0CSUsJRj5/eEW9Wvh2IUAuCkDHiqz6y61EXOWzUlBVZzqgf2N3Oq9Y3UFHspMztRGsYSmJtnB4wxF8yakEQChpfkkWZstVC7nLYqCktsrSCnsdnlPEtrZ4DQJnbASSv/GgPrnMtGbUgCAVN/HrUZh11dlbPczls1Ja5OTMwsVAPjRuCXBoU6DK3E0heS93eb2TU/oDGl2GxFqEWBCFj+PzR1ofdprCpLFkf/gBOe9D6sJBRDwUzZ1OgJ8yo+8M7x4xnuIFHhFoQhIzhjynPAyOrzpZH7bLbqC0rom/ES2CCNvKBYOZcWmRm1KZQp86ozc/KJCLUgiBkjNjyPDBW0MtWZ6IrOJkIE3dDmtZHeZz1kSyjDgu1ZNSCIBQssQ0vAE5HljJqv44R6tSfaVofpkddXmz8PWBBqCWjFgShYIltIQejRC871oc/NJlo/Jz6MwfHo62P8gknE0epLDHOGff50xJzMkSoBUHIGLGLMoHhUWdrmVOXffIZtWl5FDlsOO0qofUx6vHTN+JlUZVRyifWhyAIBYs/EL0VF5iTiVnyqO02qkpdKDWxRz04bgq1kVErpShzOxNm1GbFx5KqEkCEWhCEAiahR21XWVuP2uWw4bTbmFfimjCLHxzz4bApihxhWUy23ofpT4czarE+BEEoUBJVfaSjPG/c56eldyTlOd7gZCJATVmRJeujzO2IincioV5cbWTUMpkoCELB4gskmky04Z3mnok/evoYV3zjSVr7RpOeY2bUEBTqCcR0aNwXqvgwKStKYn0EP3fhPPGoBUEocBI1vLjstmlbHy+e7MPjC/Cjvx9L+LrWOtSZCIZQeybyqMe8lBY5o44lzagHxpg3x0VFsIRPMmpBEAoWX8zqeQBOx/TL8w60DwDGsqS9w564100/2vSba8vceP0BUkn1YND6iMSYTEwg1H2jNFS4cdmN9a4loxYEoSAJBDRaE1ee57BNz6PuH/XS0jvK686Zz6jXz8+eOxF3jpnhuiIyaq21UYWShKFxH2VFsULtCLWWR9LeP0ZDhZsipy3q8zKFCLUgCBnB3DQgkUc9kQ2RCjObvunsRq5cVctdzx5jJGbNaLMUL9KjhtSCOjgW71GXux0MjcdvHmAIdXEoY5eqD0EQChIze43zqKdpfZhCvaahnPe+chm9I15+88KpqHNMQTY96loLTS9D44mtD62J2hdxxOOjf9RLfYU79CCQjFoQhILEGzDEK93lefvbBqgudVFTVsSmxfPYtGguP/j7sShbI2R9BIXU3Awg2Ua0Wuukk4kQvTCTWZrXWOkOWSviUQuCUJD4k9gbTrttWpvbHjg9wOqG8tAD4KazG2ntG43absvjN6wIU6hry90Uu+z0jyRet2PcF8Dr1wkzaogW6tNBoa4vL8Zht2G3KbE+BEEoTFJ71FPLQAMaDp8eYk1DeejYnOAE4Jg3LJae4A4yZsYLUFFsVHBEnmcyFNM+bmL+HDmh2BasoW6sNBZ7KnLYxPoQBKEwCXvUsdbH1D3qMa8fjz/AmsawUBc7jRK50UihjinPA0OoA1qz80Rv3HXNjLk0QdWH8XpYqM2Muq7cEGqXwybWhyAIhYkv5FFHH3dOo+HF9JhXR2TU7kRCHTOZCMaypUop/n6kK+66sSvnmSSyPtr6x6ia4wp9bl5k1Eopt1LqeaXULqXUPqXU/81oRIIgzAj8KayPqa6eNzJurDFtTg5CWKjHEgi1KyKjttsUpUUOnkkg1LFrUZuUu+M3D2jvH6W+wh36OV8y6nHgCq31RuBs4Dql1IUZjUoQhILHl6w8z67w+APoCfYwTMSIx8eq+jIcEZmyO9h0EiXUMZOJJhXFTva09sd1Mw6OJfOo4zcPONkzwoK5JaGfixz23GfU2mAo+KMz+Cfzi8kKglDQhDPq+PK8yNetooFhj5/V9eVRx4tdZkYdFstEk4lgCLXW8OzR7qjjQ0mE2u204bCFNw/w+QOc6hlhcURGX+Sw5UfVh1LKrpR6CTgDPKa13pbRqARBKHjMErxEeybCxAv5x+L1BfDFTCQCuB1Bj9oTP5nockR/emmRg7IiB08f6Yw6blZ9xFofxuYBjlBG3dY3htevWVIdzqjzxfpAa+3XWp8NNAEXKKXWxZ6jlLpDKbVdKbW9s7Mz7hqCIMwuUnnUwKRL9IaDQhw5kQgRGbUvgUcdXDTJRCm4cFkVT8f41KYQx7aQQ/TCTMe6hwFYXBWbUeeBUJtorfuAvwHXJXjtTq31Jq31ppqamvREJwhCwWJWfcTm1E678XOyEj1/QCf0r831PFY1lEUdT5hRJ5hMNLl0RTWnekY5ERRdMLbhcjlsFDnscedHLnV6vMt4z5II68PlsOdeqJVSNUqpyuC/i4GrgIMZjUoQhIInVcMLJBfq//PLHbznFzvijnt8ARx2W2h3cBO3K76N2+NLPJkIsGVZNQDbjvWEjg2Oxa+cZxJpfRzrGqbEZQ8t8gR5Up4HNABPKKV2Ay9geNQPZDQqQRAKnqQetSnUvvis+bmj3Ty6r4MT3fHbbAW0xhZ7MYwJQ6WiM+rY1fMiWVRVgk1BS0/4M4YSrJxnEml9nOgeZlHVnKgJUlcWJhMTRxaB1no3cE5GoxAEYcaRvOrD+DnWo9Za8/U/HwJgxBMvfH4Nttj0PHj9Yqc9pjzPbHiJP99pt1FX7qa1byx0LNHKeSZR1kf3CKtjrJd8yagFQRAmTagzMea4WTIX9rANnjh0hh0neqkodkZ1GZoEAhp7opQao+kl8j3jMRsHxDK/spjWvnBGbaycl1ioy91OBsa84dK8iIlEMOqoc+5RC4IgTIWJqj4irY9AQPO1Rw+zqKqEm85uZCxBRm1YH4mF2sioIz3qQNASSXx+Y2UxbREZ9eCYL26JU5Oy4OYBp3pH8QV0VA01BKs+EjxY0okItSAIGSHZZKIjgfXx4J52DrQP8NGrV1LmdiTOqJN41ABFTluU9eH1BxL60yaNlcW094+Gdm4ZGveF2sVjKXM70Br2tfUD0RUfELQ+prkH5ESIUAuCkBGSrZ7nSlD18fOtJ1hWM4dXb2ik2GnHF9BxVSGBANiSKHWcR+0LJPSnTebPLcbr13QOGWtYJ9qGy8RsI9/TYgh1rPVhNrxMpSXeKiLUgiBkhKTleY54oe4Z9nBWfRk2mwotshQ7oZjK+oj1qD2+1Bn1/OBa0q19o2itGRr3JfWozUnG3S39zHHZqS51Rb1e5LChdfh+M4EItSAIGcGfZDIxUR318LiPOS5DEMNrd0QLtV9r7Ck96uiqj9RCbbSAt/aOMuYN4A/ouCVOTczje1v7WVw9J873djni67jTjQi1IAgZIbTdVrLyvIjJxKFxX2inlhJXfKchGBOOtiSK5XbaGE0wmZgMc3eWtr7RlO3jELF5wLgvbiIRCHUzZrJET4RaEISMkHQX8pjyPK01Ix5/yHpItGMLGNtwpbI+xuMy6vh2cJMyt5Myt8MQ6uCCTMkmEyOPL6lKJNRmRp25yg8RakEQMoI3adVHtPUx7jOsh5IiQ1gT7djiDa5fPSmPOsVkIpi11KOhJU6Te9RhSyRRRh2yPrySUQuCUGD4/aZHnWRRJl+4NA6Iz6gjrA/Tf07W8JKo6iOVRw2mUI8l3S/RJLJjMXJ5U5OQ9ZHBEj0RakEQMkKyqg9XzDKnw0Ghjp1MjBRqM1tOVkdd7LLHbW47oVDPLaa1d4Sh4DZcySYTi5320ANiUQLrQzJqQRAKlmQedWzVh5lRx00mRgjvmMc4N6n14bAx5g3XMnv9qScTwWh6GRjz0R7cVTzZWh/m5gFlRQ6q5rjiXjc9anP7r0ww4aJMgiAIU8FqHfXwuCFwpvWQyKMOZdTJ1voIivu4L4DbabdkfTRWFgNwuGMw6vMTUeZ2UFnsStiSno2MWoRaEISMMNHqeeZSpCHrIziZWJxgV/Gw9ZEsow6/xxRq5wQZ9fygUB88HRTqJBk1wEVLq6ivKE74WqjqI4MetQi1IEyRf/r5diqKnXz1DRtzHUpekqxTz2lLbH2EJhNd8Z2Jox4/itQeNRiCXomRWVuZTAQ4fHoQt9OWUthT/TcWj1oQ8pRAQPP3l7t4aM/ppDuVzHb8gQAOW2zNh2Ff2G0qwvqI9qgTba01UdWH22kLnmdc0+MPhDLdZNSWFeG0K4Y9/qQr51nBrPqQOmpByDNO9Iww4vEzNO7jxZN9uQ4nL/GlWD/aaVdh6yMoyKZQG+t9RK+GZ2bXqZY5hbC4W5lMtNkU9RVGh2KyZhcrhCYTpTNREPKL/W0DoX8/efhMDiPJX/x+jSOpUId3RQmX54U7CYtjGlgmmkwsckbvRG7FowZoDPrOqfzpiSiStT4EIT/Z396Pw6bYuKCSpw535TqcvCRVRu2y26KsjyKHLdSxCEGhnkwdtSnUnrBQT+RRg1FLDakrPiZC1voQhDxlf9sAy2tLuWpVLXta++kKrmsshPEHdJT4RuKMEOpES4y6XXZGouqogx51ihZyMAQ9END4AtqaUAcnFJPVUFtBVs8ThDxlf/sAaxrLecXKGgCeflmy6lh8gUByj9qhQqvrDUesnGdS7LRHbcc1UXleuKQvEOp4nIxQT2cy0SUetSDkH11D43QMjLOmoZx18yuYW+LkqcOduQ4r7/Cl8qht4e2rhsb9cUJd4or3qJVScc0zJmbVx6jXHxZqKx51GjJqu03hsCmp+hDyg6cOd/Lq7zwdqnudiEBA89Nnj9M/4s1wZNnlQLsxkbimsRy7TXHpihqeerkrtP+eYOBPWfUR7VGXFkUvSRq7Gt6ox5/Un4boJhkzs7WSUadDqCG4wa1k1EI+8ODudva09vPwnnZL5+842cvn79vHb7afynBk2cWs+FjTUA7AK1bW0DU0zoHTA6neNuvwBXTSygunI7I8L7H1EVtHnaziAyKqPiKF2kJG3TS3mMoSZ9w+iJOlKNgNmSlEqAXLbD/RA8C9O1ssnf/skW4AdrX0ZSqknLC/fYD5lcVUlhgL9LxiRTUAT4r9EYXVjHookUedwPpINpEIU8+o3U47z33ySl53zvwJz02Fy24T60PIPb3DHo52DlNdWsTW5h5aekcmfM+zR40Jtt3B3ZsLke6hcX6/s4VTPeH73d82wOpgNg1QW+5mVX0ZTxyUeupIfMHOxERE1lGPjPspdaXOqEc8/qQTicb1FDZlCLp3EpOJYDwUUmXrVihy2iSjFnLPjhO9AHzq+lUA/PHF1pTnj3r8vHiyjzkuOyd7Rugd9kS97vOHl6TMRx7c3c5td27l/C8/zkd/s4t3/2w7Xn+AMa+fo51DrGksjzr/1RsbeeF4L82dQzmKOP9IlVHH1lGXTOBRG9ZH8s9SSgU3DwiEvGIrDS/pwsioRaiFHLP9RC9Ou+KGDQ1sXjKPe3e2phTaHSd68fgD3L55IQC7W8NZtccX4JL/fILv/e1oxuLtG/Hw7JGuKT0MTvWM8L5f7aS9f5T3Xb6cf71xDQdPD3LnU80cPD1IQIf9aZNbNjXhsCnueWFm+fHTwRdI1Zmo8AU0WmuGPfF11CWu6B1bRifIqCEs7pMpz0sXklELecGOEz2sbazA7bTz+nObONY1zIun+kKv949GV3Y8e7QLh03xjkuWALA74twXjvdwemCMu549nvYFjbTW3LujhSu/8SS3/3AbfzkweTvi4b3GZOnP37mZf77mLN5xyRJetb6eb//lZR7Y1QbA2piMurbMzVWr6/jdjpaMepWFRKqM2hG0Pka9fgKahJOJXr8O/X5M5FGDIdSRHnXRbMqolVILlFJPKKUOKKX2KaU+lLFohLxk3OdnV0s/mxbNBeD69fW4nTbu3dHCs0e7uPX7z3HOF/8c1fTx7NFuNi6opKGimKXVc6IyalM8OwfHeXx/R9ribOsb5U13buWff7uLhVUlLK2ew5ce3J9UOLXW7DrVF1dW99Ce06yfX8GCeeH98b7wmrW4HTZ++PQxyoocNM2NX5v49s0L6Rn28Oi+9N1TIWPUUSeWGNP6iN3dxaQ4ZpeX0QmqPoDQQk6TmUxMF0UOe84nE33AP2utVwMXAu9TSq3JWERCztFaR03k7G0dwOMLsGmxIdRlbifXrq3nV8+f5PYfbONE9zA1ZUV86cH9+AOagTEvu1v62LKsCoANTRXsjqj8+OvBDl6xsobGCje/3HYybTF/9Dcvsbe1n6/cvJ5737OFz79mLce7R7jrmeNx5w+MeXnPL3Zw03ef4YdPN4eOt/aN8tKpPq5fXx91fm2Zm8/eYPzar24sT7jTxyXLq2maW8zdabqnQid11YdRnhfe3SXeo4Zw6/jYBHXUYIj7mDcw6cnEdJBz60Nr3a613hn89yBwAJheLYuQ1/zLvbu57GtP0DlorF+xI1iWd96ieaFz3nnJEtY1VvB/X7OWJz9+OZ8L+ri/23GKF471ENBwUUioK+kYGKdjYIzmziGOd49w9epabrtgIU8f6eJY1/C0Y/7tjha2Nvfw2RvXcNsFC7HZFJetrOHKVbV8569HQvcCsK+tn1d/52keP3CGBfOK+f6TzaEHk1kjfv26hrjPuGVTE7dvXsitmxYkjMFmU9x2wUKea+6WSUXAGwjgsKcuz4vd2Nak2Jkgo57A+jArRTyzfTJRKbUYOAfYlpFohJyztbmb32xv4czgOJ/94x601mw/3suiqhJqyopC521oquT+D1zCP25ZjNtp54b1DZy7sJKv//kwjx/owOWwce5CIwPfuKACgF2n+vhrsITt8lW1vPH8BThsirufn14G2jU0zpcfPMAFi+fxxhgR/cwNqxn3+fm3B/bzq20neddPX+B1332WMa+fe+64kG/dejbdwx5+ue0EAA/vPc3qhnKWVMc3QCil+PfXrecN5zUljeWW85qwp+GeZgIpM2pHtPWRaDIRJmt92Bnz5WoyMU8aXpRSpcC9wIe11nEtWEqpO5RS25VS2zs7pfC/EBj3+aN+ubz+AP/6p700zS3mo1ev5NF9HfzppTZ2nOjlvKA/nQylFJ+5YQ2dg+Pc/fwpNi2aG/r6uqahArtNsbuln78ePMNZdWU0zS2httzNNWvr+O32U1Ez/BOx82Qv3/vbEfa3DaC15t8e2M+ox8+/37wu7n/mpTWlvP3iJdy3q41P/2EPB08PcvvmhTz4wUs5f/E8Ni2ex8XLq/jfJ5s53jXMjhO93BBje0yG2nI3162r54dPH+NTv99D34hn4jfNUCbyqD2+ACOexB61uVntqMdYDW/MG7BW9eHxhzJbK52J6SLTGbWlBnellBNDpH+ptf59onO01ncCdwJs2rQpfwtkhRD/8rvdPH2ki6/cvIGr19Rx1zPHOdwxxA/euokrVtXy5OFOPvX7PYx6/WyKsD2Scd6iudywvoEH97SH/GkwvMOVdWU8c7SLPS39vPsVS0Ov/cPmRTy05zQP7Wnn5nOTZ6omXUPjvPun2+ke9vDVRw7RUOGmvX+MD1+1guW1ZQnf85GrVrK8tpRzFlSyvLY0zl/+0JUrufX7z/GeX+wA4Pr18bbHZPjP12+godzNT549zqP7TvPl166b9jULEX+K8jyHzSjPGxqP3t3FJHLHFnMzgCQuSgi30864L+xRT7QVVzopcua+6kMBPwIOaK2/mbFIhKxzoH2QriEP7/7Zdj58z4v81+OHuXJVLVevqcNuU3z9lo1ojGfuRBm1ySevX8WmRXN5VYwwbWyq4MWTffgCmitW1YaOX7S0irPqyvjqI4fiFm/a2tzNs0fClSRaaz71+z0Mjvn41bs285+vX8/a4FKj733lsqQxFbvs3LppASvqyhJOAl6wZB4XLa3i4OlBzqorY1lNqaV7TUZpkYPP3riGBz5wCbVlRXzmj3undb1CxRcIYE/mUTtiPOqYycRIj9qcP5jI+ih22qI86mxaH/nQQn4x8BbgCqXUS8E/r8pYRELWODM4xhs3LeD9ly/nvl1t+AKaz796bej1JdVz+OJN69iyrIoVtdbEa8G8En733i0sjRG7DU2VAFSWODlnQWXouM2m+NotG+gaGudzfwoL2lOHO3nLj7Zx+w+38ZWHD+DzB/jt9hYe29/Bx689iy3Lq3nj+Qv54T+ez8/ecUFol42p8qGrVgDEPWCmw+qGcq5YVcvA6MxaPdAqqTJqYzJRMzQ2cXneRGtRm4Q86hxMJmY6o57Q+tBaPw1xGwkLBc64z0/viJf5c4v54JUruG5dPSMePwurSqLOu3XTgqRVDpNhQ5MxoXjZypq4XT82NFXyoStX8I3HDnPl6loWVc3hPb/YwfLaMs5eUMn3n2xmx/FeDrQPcOHSebwz2ESTTi5cWsWv3rWZcxZa++ZglRKXHV9AG1tDpfXK+U/qrbiM432jhoeftOrD4w/NX0y26iPbddQen7EsQqJvbdNleouwCgWLWa5WV25UcqybX5HRz1tVX8ar1tfz1osWJXz9va9cxhOHzvDZP+7FYVNUlxbx03ecT22Zm/MXz+UzfzCOf/2WjdNeQCcZW5ZXp/2axUEBGvX6Z51QT5RRA/SOeCl22uME3cyox7x+Rj2G8E6UIBcFPepxXwClSPrZmSC0E7k/MO1vd4kQoZ6ldAwYQl1b7s7K5znsNr73D+elfP1bbzyb67/9d4ocNn7+zguoLTNiu/ncJjYtmse4z0/T3JKk18hHIjPDzD4K8w8jo06+ZyIYa7LE2h4QHrcRj3Xrw3zP4JgXl92Wkcw2GUUR23GJUAtp48zAGAC1EbXRuWZR1Rz++L6LKS1yhHbeMIm1ZAoFsx7YLEObTaTOqIPWx4g3risRojerte5RG2I5MObLamkeRG9wm7j2aHqIUM9SzoSsj+xk1FZZWZeJX/PcEbtmxWzC50+xuW2E9ZEoo7bbFC6HbZJVH8ZYD4x6s+pPQ3RGnQlk9bxZSsfAGA6bYl7JbHNOs0uk9THbSL3MqSE9/UmsDwgudRo1mZj688wsvD8HQh2ZUWcCEepZypnBcWrKijI2MScYhK2P2SnUqeqoIZhRuxJ7usXB9aXNbyNWljkFY8Gt7GfUxmdnqpZahHqW0jEwllf+9ExlNlsf/oDGmbSF3BDdUa8/aUZd7LQz4vGHHnJWljkFGBjNgUdtF+tDyACdg+NZq/iYzcxW60NrPeHmtiaxCzKZmBsBTKaOGoyMOpvNLmA0vIBYH0KakYw6O5QE66hnm/XhD27GMJFHDfFdiSbmTuSjHj92m2Kiajt3RElfrqwPyaiFtGF2JeZbxcdMZLZaH76gUCfzqCPXqU41mTgarKMudtonbI8ujvC6czeZKB61kCbMrkTJqDNP2PqYXXXUE2XUrijrI/FkorFZrbGvopktp8Id0WiSzZXzIj9PMmohbZhdiZJRZx6Xw4bDpmad9RHKqCfoTIQU1ofTzqjHx5jHT7FrYqlyR5yTbY9ayvOEtNM5GOxKLJeMOhuYXutsYjIedbLJxMjyvGIrGXXEOdmu+jAz6nGvCPWsZdTj59uPvxxau3e6hNb5KJOMOhuYq7rNJnwBcyGlJNaHI8KjdqWYTPRYF+rIc3LmUftFqGctTxw6w7ceP8wfXmxNy/XODI5htymq5khXYjYocdlnnfUxmYy6JIlHbe4qPurxR00UJsNpt4UeDDlreMnQNycR6gJgb2s/AA/vbU/L9ToGxqkpla7EbFHscsw668PnNz3qZFUf1qwPT3ADXCsZtfkeyIVQh5c5zQQi1AXAvjZjL+GtzT30DE9/s9Qzg+OhdaiFzGNuETWbMCcTHclayC2U55mi2zPssZRRQ9inzlVnonjUsxStNXtb+1nTUI4/oHls/+lpX/PMwBg14k9njRKXY9Ytc+oPetSpdiE3SdqZ6AoLtZXyPAi3kWc7o7bZlLGzumTUs5OOgXG6hz3cuqmJprnFPLw3WqiPnBkK7bpsFcmos4tR9ZG5/fTyEV86OhOd5kJHgclbH1nOqMF4OEhGPUvZ12b40+ubKrh+XT3PHOmiP7hZ6p/3neaqbz7JPc+ftHy9cZ+fnmGPVHxkEbMeeDYxkUcdNZmYRIRLIuwOq0LtzpFHDYZPPSs6E7XWaK1zHUZG+PULJ/nsH/dM+n17WwdQClbVl3P9+ga8fs1fDnRwqmeEj/12FwBPHu6Me1/n4HjCX5rYvRKFzDOrqz4m8KjnuOxJJ7UjxdmqR22+J9sNL2A8HGZ8Z+LgmJd/+vkOHtidnsqGfOPOp5r59Qun8E3Sptjb1s/S6jnMKXJwdlMl9eVu7tvVxgfufhGtjV29tzX3RF13zOvnmm89yTcfOxx3vXzd2WUmMxsbXibqTFRK4bCppLYHRDewWPWoi3LkUYOZUc9woS522ukYHOdf/7Q3lPXlgoExLx+650WOdQ2n7ZrNnUMc7RzG69ec7BmZ1Hv3tw2Edgi32RTXravnb4c6eelUH//5hg3csqmJwXEfu4MlfADPHOmid8TLU4e74q5n7pVYI+t8ZI3Z2PAyUR01GFlvsolEiM6i8708D4xa6hmfUTvsNr5xywaGPX4+98e9ObNA7nyymT+91JawZvmJQ2dCQjcZ/nLgTOjfR84MWX5fz7CH1r5R1jaWh47dsKEBgLdetIhXrW/goqVVADx7JCzKj+4zJhwPnh6gf8QbdU3JqLNPicuOL6AJzExXLyETdSaCYX8ka3aBaHEumWR5XlGuJhNng0e9vLaMj1y1kkf2neb+HFggZwbH+NHTx4Bw7bLJwJiXd971Av9y7+5JX/exAx0sDu6ifaTTulCbE4nrGitCx85fPI/fveciPnfjGgCqSotY3VDOM0e6AWND0ccPnGHhvBK0hueP90Rds2NAuhKzTXGwRTowQ+dfEmElo3Y5bEnbxyFmMnGSHnWurI9ZU5737kuXsHFBJZ/PgQXynb8cwesPsG5+OQdihHpvSz8BDU8c6mTHiV7L1+wd9rD9eA+v2dhIfbl7Uhn13lYjhrURQg2wafG8qMmSLcuq2HGylzGvn+0neukZ9vCRq1fgctjY1twd9d4z0pWYdUzxCMyilDrsUU/d+piKR23WUedqMnHWlOeFLJBxP9994kjKc493DbOnpT/lOVY53jXM3c+f5E0XLODq1fUc6x6OWgTJ9IArS5x887FDlq/7xKEzBDRctaaO5bWlHJ2EUO9r66dpbjEVJc6U5128vAqPL8COE708uu80LoeNa9bUc86CSrYdi8moB8dl1bwsY2aG/lmUUZvleckaXgDK3U6qSpN/s5uKR202ychkYhZYXlvGeYvm8uKpvqTnDI/7ePOPtvG2nzwf+po1Hb752GGcdhsfvGIFaxvL0drweE12t/SxYF4xH7hiBc8c6ea5o+FMNRDQSbOlxw90UFdexLrGCkOoO4ct++/72gaibI9kXLCkCodN8fSRLv68r4NLl1czp8jB5qVV7GvrZ2DM8KnHvH72tw2wYG6Jpc8X0oMpOLPL+gh2JiYpzwP4f28+l49fuyrp6+4IsbXcQu7InVDntDxPKfVjpdQZpdTejESQhNUN5Rw6PZBUhL/26CFaekfpHvbw4knrVkQidp7s5b5dbbzjksXUlrtZO9+YvIv0qXed6mdDUyX/sHkhdeVFfPOxQ4x5/fzgqWbO+9JjfP6+fXHXHff5efJQJ1eursNmUyyrLWVo3MdpCxOSg2NejnUNs25++YTnlhY52Ligkl+/cIrWvlGuXVsPwIVL5hHQsOO4MT5/eLGVrqFxbrtgoaVxEdJD2PrIcSBZZKLORIClNaUpq48cdluow9By1YeZUefA+ihy2HM6mXgXcF1GPj0FqxrKGPMGONEdXya3/XgPP33uODefOx+nXfHYgY6o15872s0H7n6Rh/e0T/iEG/X4+dhvdjG/spj3XLYMgPpyN3NLnOwPCnX30DitfaNsbKrA7bTz/itW8MLxXrb8x1/58kMH8Pk1j+w7HZcpb23uYdjj5+rVdQAsrykFrFV+HGgfBOL96WRcvKyKnmEPNgVXrq4F4JyFc3HaFVuPdeMPaO58qpl188u5eHmVpWsK6WE2Wh9+Cx61FUzhtexRO3JXR53TjFpr/RTQM9F56WZNg5FJmoJlMub184l7d9NYUcwXb1rHhUureGx/tFD/xyMHuX9XG+/95U4u/Mpf+Pyf9vLY/o5Q63UkX3v0EM1dw3ztDRsocxtesFKKtY0VoYx6d9AH39BUCcAbNy1gVX0ZS6rncM8dF/KZG1bTOTgeJ8CP7++g2GnnomWGMC6vtS7Uu1v6AELZ/URsWV4NGFUhVaVGllLssrOxqZJtzT08tv80x7qGec9ly1ATbecspJWQ9TGbJhMteNRWMDNpy1UfOc2oM+dRJ59yzTHLa0ux2xQHTw+EaocBvvfEEZo7h/nZOy6gtMjBVavr+Px9+zjaOcSymlJ2t/Sx61Qfn7txDUtr5vC77S3c/cIpfvrcCWzKENvbL1jIa85uZNepPn7y7DHeetGikNCZrGks565nj+P1B9jV0odShBpPXA4bj3z4FaFz51cWA/Ds0W5W1JUBxv+Uj+47zWUra0LZQHWpi4piJy9bEOo9rf00VLgtr8lxzsJKVtaVcvvmaFtj89J5/O+TzXz7L0dYVFXC9esaklxByBQh62M2ZtQpPGormMJr1fooCZb7WdljMd187sY1/Our12Tk2mkTaqXUHcAdAAsXTt8DdTvtLK2ew4H2sE+steZ3O1q4clUtr1hZAxjVFJ+/bx+P7+9g2WWl/Oy5E5S47NyyqYlyt5PLz6plzOvnxZN9PNfczaN7T/OJe3fzH48cxGFTLJxXwievj5/QWNtYjscX4GjnELtb+llWU5q0lGjBvBKa5hbzzJEu/nHLYgBePNXLmcFxrl9fHzlGLK8ttZhR97OhyZrtAYY/9uePXBZ3fPOSKr77xFEOtA/wpdeum/ZXUWHymOLhnz06bcmjtoKZ5FhteLlqdR3/cfN6lgVtxmxi1Z6ZCml77Git79Rab9Jab6qpqUnLNVc1lEdZH8e6hmnrH+PyVbWhY/Mri1nTUM7jBzroHfZw/642XnvOfMrd4ZI2d9B++OjVK3nkw5fyq3dt5tyFcxka9/H1WzaG/keKxLRe9rUOsLulb0LRvHhZNVubu0OZxMN7TuOy27giIlYwfOqJSvT6R42JRNNqmQ7nLZqL3aaoLnXxhvOapn09YfLMRuvDb6Ez0QrFwbroIouec7HLzpsuWDjj7L28tT4AVjeUcf+uNvpHvVQUO3k62CZ96Ypom+LqNXV8568v879PHWXcF+CtFy1Kek2lFFuWV7NleTVa66T/QZfWlOJ22vjLwQ66hjxsnEA0tyyv4tfbT7GvrZ/18yt4ZN9pLl5eFfK9TZbXlvLr7afoHfYwN0l34L5gzfb6+dYz6mTMKXLwvsuXs7y2NKNPfCE5s9H6SFdGXeJyUOy0zzjhnSxWyvPuBp4DzlJKtSil3pn5sAxW1xtZ7cGg/fH0y100zS1m4bzoOuCr19QR0MYKdRcsnseqemsTcKn+49ttilX15fx5nzFROVFGbU4YPnu0m31tA7T0jib0g0MTiilayXeFJi+nL9QAH716Ja/Z2JiWawmTx+Ww4bCptNT7FwrpqvpwO+2WJxJnMlaqPm7TWjdorZ1a6yat9Y+yERgYtdQAB08P4vMHeO5oN5euqI4T2LWN5TRUuNEa3pIim54saxrL8QU0DpsKxZKM2jI3K2pLeeZIFw/vbcduU1y9pi7uPCuVH3ta+1g4r4TKElmPY6ZQ7LLP0ox6mlUfLrvlicSZTF5bH3XlRcwtcXKgfYDdrf0Mjvu4OKY6A4zM+DVnN/LQnvZQs0c6MFetO6u+zJJtcPHyau554SSneka4cOm8hNbG/Mpi3E5bSqHedaqfsxdWTjluIf8odtpnV8OLPz0e9Zs3L+SylemZ8ypk8rKF3EQpw344cHqQp1/uQinYsixeqAE+ce0qHvvIZWktdDcnFK1O6m1ZVsWYN8Dx7hGuS/LAsNkUS6uTV35ENtcIM4cSl31WNbyky6PevLRKJsHJc6GGcCv5U4c7WdtYzrwkE3B2m0r7ZNnqhnLWz6/gunXWsvTNS6uwKVCKlJl9qhK93aGJxMpJxyvkL8Uux6yyPvwBjU0hqzSmibwXarOVfPuJXi5Znt2vQG6nnfs/cInlr14VxU7OWzSXC5dUUZtiYf7zl8yjtW+U7cfjGz73tPQHm2usTYgKhUGx0zaryvOMuZ28l5eCIe9Hck3EJN4lCfzpfOMHb93E/77lvJTnvP7c+VSWOPn+U81xr+1uMfZIjC3rEwqbEpdjVjW8+ANamqvSSN4LtdlK7nLY2LR4bq7DmZDKEqNNPBUlLgdvvXARjx/oiLNAjOaaygxGKOSCYpd9dmXUfj1tf1oIk/dC7XbaWVVfxpZlVTOqYeOtWxbjstv44d/DWXXHwBhnBsfTVj8t5A/FztlVnucPBKa9zocQJq/L80x+9I/n52TZwkxSXVrEG85r4rfbW/joNSupnlPEvTtbgPQ1ugj5w2ys+pCMOn0UhFDXV8zMHbPfdelSfvX8Sf7tgQOc6hnhpVN9nLdobmiVPmHmMNusD/Go00tBCPVMZUn1HK5dU8/9u9qoLSvi67ds5OZz5ktJ0wzEsD5yHUX2kKqP9CJCnWM+/5o1bFlexevPbWJOih2ZhcKmxGVHa01AF8DEUBqQjDq9iDLkmIaKYt560eJchyFkmOLgUroBrWeFUHv9AfGo08hs+J0RhJwT3uB2dvgf/oBOuQO5MDlEqAUhCxTyBreHTg/y7p9tZ8xrfYdtX0BjF486bchICkIWCO3yUoBC/eCedh7b30Fz57Dl9/ilPC+tiFALQhYIWx85DmQK7G8zFgrrGBiz/B6fTCamFRFqQcgChWx97GszdliajFD7AzKZmE5EqAUhCxTqBrc9wx7a+w2B7hgYt/w+n18y6nQiQi0IWaBQN7jdF7Q9AE5PKqOWqo90IkItCFmgJFhHXWhLnZq2x/zKYs5M2qMWeUkXMpKCkAUK1frY1zbA/Mpizqovm3xGLdZH2hChFoQsUKjWx/62flY3lFNXXjQ5j1qqPtKKCLUgZAGXw4ZSCn8BZdQjHh/NXcOsbSynrtxN9/A4Xr+1+kJ/IIBTPOq0IUItCFnCphJn1Ec7h3jXT19gaNxn+VrdQ+MZF/0D7YNoTUiotYbOQWtZtVH1IfKSLmQkBSFL2JRK2PDyh52tPH7gDFuPdlu6Tt+Ih0u/+gR3P38yrfE9dbiTT/1+d+gBYDa6rJ1fQX1ws2arPrVsHJBeRKgFIUvYbSphw8vWZkOgd57stXSd5452M+Lx89KpvnSGx3efOMLdz5/il9tOAMZEYmWJk8YKN7XlRQCWKz9kmdP0IkItCFnCplSc9THi8bGrpQ+AHSesCfUzR7sAeDlmY+Tp0DEwxvPHe3A5bHzt0UOcGRxjX9sAaxvLUUqFM+p+qxm1dCamExFqQcgSNlt8ed724714/ZrltaXsaumzNFn3bNAiOdIxiE5TFcmDu9vRGr57+7mMewN88f79HOoYZG2jsS3c3BIXTruiI8KjPtE9zPlffpyDpwfiricZdXqxJNRKqeuUUoeUUkeUUp/MdFCCMBOxKxXX8LK1uRuHTfHuS5cw5g1wsH0w5TVO94/R3DnM0po5DHv8tPaNWv78Ma+fh/e0875f7uSL9++Peu2B3W2sbijn6jV1/NNlS3lgdzseX4C1jeUA2GyK2jI3HREZ9bNHu+kcHOexfR1xnyUedXqZUKiVUnbgu8D1wBrgNqXUmkwHJggzDZtNxWXUzzV3s6GpgktX1ACw40RPyms8c8SwPf4xuCuQFftDa803/3yITV96nPf+cidPHDrDj585xuP7DYFt6R1h58k+btzQAMD7Ll/OgnnFACGhBoxa6sGwUJvt5duOxcfsl6qPtGJlJC8Ajmitm7XWHuAe4KbMhiUIM49Yj3p43Mfuln4uXFpFY2Ux9eVudpzsS3mNZ452MW+Oi1dvbATg5Y7UGTjAtx47zH//9QiXrqjml+/azM7PXc2K2lK+cP8+Rj1+HtzdDsCrNxjXdDvtfOOWs3n9uU0sqS4NXaeu3B3lUZvt5TtO9MZZNj5Z6yOtWBHq+cCpiJ9bgscEQZgEhvURFuoXjvfgD2guWlYFwHmL5rIzxYSi1ppnj3Rz0dIq5s1xUV1axOGO1Bn1D//ezH//9Qi3bmrie/9wLhcvr8bttPPFm9bR0jvK9/52hAd2t7OxqYKFVSWh912wZB7fuHVjlM9cV+7mTLA70R/QHGgfoGluMaNeP7tb+qM+Vzzq9GJFqBONdtwMhlLqDqXUdqXU9s7OzulHJggzjNjJxK3NPTjtivMWzQXgnIWVtPaNhrLWMwNjfOieF9kfzFyPdQ1zemCMLcsNYV9ZV5rU+tBa8/OtJ/jSgwe4fl09X7l5A0qF/1e+aFkVrztnPv/vb0fZ09rPjcFsOhV15W4Gx30Mj/to7hxizBvgbVsWA7DtWHQNuFR9pBcrQt0CLIj4uQloiz1Ja32n1nqT1npTTU1NuuIThBmDLTiZ2D/iBQx/emNTZWhlPVOwd57sRWvNp/+whz+91MZbf7yN413DPBOs9tiyrBqAlXVlCSs/DrQP8KY7t/K5P+7l0hXV/Nebzk6Y3X7qVatCi0XdEPSnU1FfYdRSdwyMsTfoT79iZQ0rakvZ1hz2qQMBTUCDQzzqtOGwcM4LwAql1BKgFXgTcHtGoxKEGUh5sZO2/jGu+taTfPpVq9jb2s97L1sWen1tYwUuh42dJ3oZ9/l5/MAZ3rZlMX96qZW3/Hgb8yuLaaxwszhoUayoKw1VfjTNNY5987HD/M9fX6ai2MmXXruO2y5YmNSCqC1z89XXb2B/+wCNlcUTxl9XFu5O3Nc6QJHDxtLqOWxeOo8/7GzF5w/gsNvwBb81iEedPiZ85GmtfcD7gUeBA8BvtNb7Mh2YIMw0KoudrG8sp7q0iI/8eleUPw3Gwk0b5lfwxKEzfOG+/WxaNJfP3biGn7z9ArqHPGxt7mHL8uqQhbGitgwIV36c6hnhv//yMtetq+eJj72SN1+4aEKf+Pr1DfzzNWdZir+uwhDqMwPj7G3rZ1VDOQ67jc1Lqhj2+EOTi2YLunjU6cPSdxOt9UNa65Va62Va6y9nOihBmKnMKXJw3/sv5mPXrOTSFdUhu8PkvEVzOdo5zJjXz1ffsAG7TXH2gkq+/5bzKHM7oiyKlXVGRYZZ+fHb7adQCj5zwxoqS1xpj70u2J3Y3j/G/rYB1gVL9zYvnQeEfWpfcEET8ajTh5hIgpBlnHYb779iBT9/52bcwXWqTc5fbIjex689i6U14dK4S1fU8NK/XsPlZ9WGjlWWuKgpMyo//AHNb3e08IoVNcy3YGNMhdIiB3Ncdnac6GVgzBfqWqwtc7O0Zg5bgz611y8ZdboRoRaEPOKKVbXcc8eFvOPiJXGvJRK+FbVG5cdTL3fS3j/GG89fEHdOOqmrcIeabtbNDzfDbF5SxQvHetjW3M3tP9gKwIK5JQmvIUweEWpByCNsNsWFS6uwWcxGzcqPe54/ybw5Lq5aXZfR+OrK3Ix6/dhtipV1ZaHjFy6dx+C4jzfeuZWBUS//++ZzuXJ1bYorCZPBStWHIAh5iln58ef9Hbzz4iW4HJnNveqDE4orakujbJtLV9SwuqGcy8+q4f1XLA+VHArpQUZTEAoYs/JDazJuewChdalNf9pk3hwXD3/o0ox//mxFrA9BKGDMyo/zFs1lRYQVkSnMdakjF2sSMo9k1IJQwFSWuPiny5ZGVYNkErOiZENTxQRnCulEhFoQCpxPXb86a591xapafvL28+Pqv4XMIkItCIJlHHZb1rJ3IYx41IIgCHmOCLUgCEKeI0ItCIKQ54hQC4Ig5Dki1IIgCHmOCLUgCEKeI0ItCIKQ54hQC4Ig5DkqdmPMtFxUqU7gxBTfXg10pTGcTFJIsVqhkO5HYs0MhRSrFQrpfhZprRPuDJ4RoZ4OSqntWutNuY7DCoUUqxUK6X4k1sxQSLFaYabcj1gfgiAIeY4ItSAIQp6Tj0J9Z64DmASFFKsVCul+JNbMUEixWmFG3E/eedSCIAhCNPmYUQuCIAgRiFALgiDkOTNGqJVSpbmOwSpKqWuVUh/OdRzpQsY+M8i45pZ8Gv8ZIdRKqRuAPyqlLst1LBOhlLoG+HdgV65jSQcy9plBxjW35Nv4F/xkolJqI/Bn4A9APfAtrfWTuY0qMUqpS4EngPVa6wNKqUrADXRrrb05DW4KyNhnBhnX3JKP4z8T9kw8BvwL8CBwM/BxpRS5HtgkHAYGgUuVUkeA3wNDQJFS6tvAw7qwnpwy9plBxjW35N/4a60L9g/hbwT24N/zgDswBviVwWPzAUeuY42IeT5wGvAAdwSPfRR4CCjNdXwy9jmPUcZVxj/uT0FaH0H/6HVAK/CE1vpvEa9VYzwFrwB6ML66vEVrPZyDUFFKbQD8Wut9EccagFu11t+OOPYQ8DGt9f4chGkZGfvMIOOaW/J+/HP9BJvCE+8C4BDwZuA9GCtj3ZrgvF9jPOXPzmGs1wMB4H+Ac1Oc90bgRaAm1+MrYy/jOlPGdSaNfyF61HXANq31LwCUUkeBbyulAlrr3wWPXQtsAa7SWu/NRZBKqWLgfODTQAVwa9Dn2hlxjh24DfgM8AatdWcuYp0EMvaZQcY1t+T/+Of6aTaFp99G4EdAU8Sxq4FO4OLgz5XAkjyIdXHw71qMDOQrwKaYc14FnJXrWGXsZVxn2rjOpPEvOI9aKeUAfoIx0/xBDK9MK6U+CDi11t/IaYBJUErVAZ/DmBH/NnAVsFdr/WJOA5sEMvaZQcY1txTC+BdUw4tSyqa19gHvAlYA3wGWBF8uAxblKrZUKKXsWusO4N8AH/Ar4JsYs+QFgYx9ZpBxzS2FMv6FmFG7tNYepZQL+AbGYFZgDPJtWus9OQ0wguAvQSDm2KeBD2OU+uT9bDiE76MQxj4i1rwfexnX7KOUcmutx2KO5f345+1kolJqFTCutT4WcUwFB/RqjJnaD2IM5kLgiNb6eJ7FGlBKXQ5cr7X+hFKqDCgFrs3nX2il1JXAZcAI8ButdXMwg8rHsU8Wqz/fxj7Yan0t4Ad+oLV+OSh8+TiuyWItyN9pAKXUK4GvKKXeDhwK2ht5Of5x5MocT/UHuBGjBOjLwKqY19YCzwNvzHWck4j1DRHH8qZRIcX9vAR8HPhP4GGgOo/HfqJY82LsgRswytXeDnwN+F7EaxuBF/JoXK3EmhfjOsn7uhnDh/4qcBZhRyGvfq8T/ck76yP4hP4CMAbMwahp/K3W+lDw9UsBj9Z6WzBrzdkNTDLWuK+M+YZSaj7Gjhhf0Vo/HSz0/2rw55eVUpcAPq311jwY+8nEmtOxV0o1Af8NfFtr/aRS6iaMh8y9wAFAYVQcPJ0H4zqZWPP+dzoSpdQyjLJBgGKMmmkncDYwlA+/18nIR6F2YJTBvBy0FD4BHAX+oCO+WimlHNqYBMgZhRSrFZRSczBm7h/RWo8Hj90b/PkHEefZtdb+HIVpxlBIsZYADVrro0qpeRiLGO3DWCfjnzC83UP5IBKFFKtVlFIK4wHTgNHa/mngs8DFGGWG12it2/L5nvKm6kMptUwptQjj4fEygNb6IMZXr2XAzUqpcqXU65VSC3MpfIUUqxWC97NYaz2stf6T1npcKeUMvnwEw/811xxuyKXwFWKsgFdrfTR4eDHwca317VrrLwB3YXTEkeNMumBitYpSaqlSaiFQpLUOaK1bMVb2K8dYHe9sjJbwMcjve8qLyUSl1OswnnD9wA6l1D6t9V0A2lg68WsYC6P8GsPwv1hiTQ+R96OU2olRB3uXDi9R2Rl87SYMm+fm3ERauLES8Xuig118EdnbMDlOmAopVqskuKeDWusfYXw7+BZwLoYHfy3GBOMHtNb5W1qYC2M88g/G020rRntmPcb/XL8FPhxz3lcw+uzXSqzZux+MibpWjAmkvB77Aoj1IzHnvSkY66pcxFlosU7znn6HUStdC+whYi0PDKsn53Gn+pMPGbUP43+uNq31aaXUoxiTcu9TSnVqrX+plKoAqjBKgvalupjEOilS3U+XNtY+OI2RSd2ugzaPxDqtWP8h+HvyWgzP9+3asM0k1vSR7J4+BHRgLCblVUo5tdZerXV7LoO1Qs6/xmitRzAmKn6slCrTxtKBLwJ/BNYpY5GXQeD9OsetqYUUqxUmuJ+1wdMewZhsyaXwzaRY1wVPewJ4k87RAksmhRSrVVLc0+8IWpFBO6dwdqDJ8VeU0CLdGO2ndwFlwWNNwF+A+lx/7Si0WNN4P/NzHecMjbUx13EWWqxpvqe6XMc52T85yaiD5TLo4OhpY2b+WxiTQQ8rpVZiLNJdgvE1JmcUUqxWmOT9jOcqTpjRseZ00qqQYrXKJO8pp+WaUyGrddTKKKYfBIZ1sGTN9ImCpUGDwAeApRgtnB/WWr+UtQALNFYrFNL9SKwSq1Vm4j0lJItfSV6D4XX9CvgkcF3Ea1cCjwIrI762FOXqa0YhxTrT7kdilVhn8z0lvdcsDehCYBfG5MRZwEeAJ4HXBV9/Dnh9rgej0GKdafcjsUqss/meUv3JVnneHKBLB2eNlVJzMVY8e4tS6mWM7W2G86SFs5BitUIh3Y/EmhkKKVarzMR7SkpWJhO11geAPqXU95WxRsOrMdp9/46xjc9w8LycD2ghxWqFQrofiTUzFFKsVpmJ95SKjAm1UmqFMrbqMfkXoBpjy5uztNYfw+gQelWw/jhnFFKsViik+5FYM0MhxWqVmXhPlsmEnwLcBJwEvgssinmtFLAF//02jEHO5TrBBRPrTLsfiVVinc33NJk/aS/PU0YL9S+Bg8AZjF77/9Jan4w57w7gfcBbtNa70xqERQopVisU0v1IrJmhkGK1yky8p8mSkTpqpdQSoBtYhfEkLAb+W0dsa6OUejPwgg4usp8rCilWKxTS/UismaGQYrXKTLynyZA2oVbGuq8dGF85hiOOb8YYWDfwMWATcFBrPZCWD54ChRSrFQrpfiTWzFBIsVplJt7TVEnLZKJS6gbgIYyt1n+ilDrLfE1rvQ34E9AOPI2xYHdlOj53KhRSrFYopPuRWDNDIcVqlZl4T9Nimga/AhZgzLS+EqgD/hloI2Y9YOC/gGPAulyY8YUU60y7H4lVYp3N95SWcUnDwNoxNhmdT9hK+SDGerBm++ZcjC6ic3L8S1Awsc60+5FYJdbZfE/T/TNlj1optTw4WM3A94AdWuuvRrz+CWAN8H+01iNKKbfWemxKHzZNCilWKxTS/UisEqtVZuI9pY0pPvFuBHZj9Nb/D8biKMeBT0Wcsxj4PuEnosrR07lgYp1p9yOxSqyz+Z7S+WfSa30opbYAXwdu01q/qJS6E2MT1y3A1mBH0D3AJcB5GCZ/rw6ObDYppFitUEj3I7FKrFaZifeUdqbw5NsCvC3i5xrgweC/lwI/xvjash1Yn8unUCHFOtPuR2KVWGfzPaV9jKYwqHagPOLfTRj7kTUEjy0CHEBFzm+ugGKdafcjsUqss/me0v1n0nXUWmu/DheWK6AP6NFatwc7gz4NOLXW/ZO9droppFitUEj3I7FmhkKK1Soz8Z7STVo6E5VSd2EUn1+D8RVmz7QvmiEKKVYrFNL9SKyZoZBitcpMvKfpMC2hVkopwAkcCP59pdb65TTFllYKKVYrFNL9SKyZoZBitcpMvKd0kK6M+m0Yi6Hsm/bFMkwhxWqFQrofiTUzFFKsVpmJ9zQd0iXUBbPdTSHFaoVCuh+JNTMUUqxWmYn3NB0yssypIAiCkD6ysmeiIAiCMHVEqAVBEPIcEWpBEIQ8R4RaEAQhzxGhFgRByHNEqAVBEPIcEWpBEIQ85/8DYDRbJjbJxV0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "tsd = TimeSeriesData(df_multi_cps)\n",
    "detector = RobustStatDetector(tsd)\n",
    "# even setting the p_value to be 0.1 it cannot detect the first change point, while there are already many FPs in the results\n",
    "changepoints = detector.detector(p_value_cutoff = 1e-1, comparison_window=2)\n",
    "\n",
    "plt.xticks(rotation=45)\n",
    "detector.plot(changepoints)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To avoid this we can again use the same way in `CUSUMDetector` to detect multiple change points by cutting the long time sereis into several different shorter sections."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. Outlier Detection\n",
    "Outliers in Time Series can cause a lot of issues in downstream processing. Therefore, removing outliers is important in any time series analysis. In Kats, we have three algorithms detecting outliers, one for univariate time series, one for multi-variate time series and one for detecting irregular daily patterns."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **2.1 OutlierDetector**\n",
    "We provide the `OutlierDetector` module to detect outliers in time series. Since outliers can cause so many problems in downstream processing, it is important to be able to detect them. `OutlierDetector` also provides functionality to handle or remove outliers once they are found.\n",
    "\n",
    "Our outlier detection algorithm works as follows:\n",
    "* We do a [seasonal decomposition](https://www.statsmodels.org/stable/generated/statsmodels.tsa.seasonal.seasonal_decompose.html) of the input time series, with additive or multiplicative decomposition as specified (default is additive)\n",
    "* We generate a residual time series by either removing only trend or both trend and seasonality if the seasonality is strong.\n",
    "* We detect points in the residual which are outside 3 times the inter quartile range. This multiplier can be tuned using the `iqr_mult` parameter in `OutlierDetector`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here are the parameters when initializing `OutlierDetector`:\n",
    "* **data**: `TimeSeriesData` object with the time series\n",
    "* **decomp**: `additive` or 'multiplicative' (default is additive)\n",
    "* **iqr_mult**: `float`, multiplier on inter quartile range is used to classify outliers (default is 3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here we recap the example from the Kats 101 Tutorial of how to use `OutlierDetector` with the `air_passengers` data set.  Our example manually inserts outliers into the `air_passengers` data set and uses `OutlierDetector` to find them."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# load the air_passenger data set\n",
    "air_passengers_outlier_df = pd.read_csv(\"~/Kats/kats/data/air_passengers.csv\")\n",
    "air_passengers_outlier_df.columns = [\"time\", \"value\"]\n",
    "\n",
    "# manually add outlier on the date of '1950-12-01'\n",
    "air_passengers_outlier_df.loc[air_passengers_outlier_df.time == '1950-12-01','value']*=5\n",
    "# manually add outlier on the date of '1959-12-01'\n",
    "air_passengers_outlier_df.loc[air_passengers_outlier_df.time == '1959-12-01', 'value']*=4\n",
    "\n",
    "# transform the outlier data into `TimeSeriesData` Object\n",
    "air_passengers_outlier_ts = TimeSeriesData(air_passengers_outlier_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can import and call `OutlierDetector` on `air_passengers_outlier_ts`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "from kats.detectors.outlier import OutlierDetector\n",
    "\n",
    "ts_outlierDetection = OutlierDetector(air_passengers_outlier_ts, 'additive') # call OutlierDetector\n",
    "ts_outlierDetection.detector() # apply OutlierDetector"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here we look at the outliers that the algorithum found."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Timestamp('1950-12-01 00:00:00'),\n",
       " Timestamp('1959-11-01 00:00:00'),\n",
       " Timestamp('1959-12-01 00:00:00')]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ts_outlierDetection.outliers[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "After detecting the outlier, we can now easily removal them from the data. Here we will explore two options: \n",
    "- **No Interpolation**: outlier data points will be replaced with **NaN** values\n",
    "- **With Interpolation**: outlier data points will be replaced with **linear interploation** values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "air_passengers_ts_outliers_removed = ts_outlierDetection.remover(interpolate = False) # No interpolation\n",
    "air_passengers_ts_outliers_interpolated = ts_outlierDetection.remover(interpolate = True) # With interpolation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here we visualize the difference between these two approaches to removing outliers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABIQAAAHwCAYAAADXWbRGAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAAsTAAALEwEAmpwYAADiI0lEQVR4nOzdd5xjd3kv/s9XvYw0ve3ONq93ba87NhgcU40xvSSEEgJOSMJNLgHuvbnJL7mEEBIIaTchJCGEcoOBAAFCCzbGxmCDsQ3uXu96m7dOn9GMetf5/v4450iaGZUj6egczezn/Xrx2h2NRjqjGaxnn+9ThJQSRERERERERER0/nDYfQFERERERERERGQtJoSIiIiIiIiIiM4zTAgREREREREREZ1nmBAiIiIiIiIiIjrPMCFERERERERERHSeYUKIiIiIiIiIiOg8w4QQURNCiN1CCCmEcGkff08IcYvd17UZCSFOCyFeavd1AJvr5yiEuEcI8Zttfu1OIURSCOE0+7qIiIjMwFjLPFbFWkbiC+1neqHBx/s/QojPmHeF3SOE+FMhxBc7+PpDQogXmXdFRO1jQoi2HCHErwkhDgoh0kKIeSHEvwghBlr4+oZvpFLKV0gpbzXlYhtfxz1CiKz2ZrsshPiGEGKy28/bq6pejx1Vt71UCHG6ncdr5efYSULGaut/f6WUZ6WUfVLKkp3XRUREWwdjra1HCPFWIcThdbfdVee2P1wfX3QaK0kp/0JKaejrO03IWEkI8TkhxIerb5NSXiqlvMemSyJagwkh2lKEEL8H4K8A/D6AfgDPBbALwF1CCI/N1+Zq48t+V0rZB+BCAH0A/tbcq9p0UgA+YPdFtIrVOUREtFUw1tqy7gVwiRBiFCi/llcCCKy77XkAfmzbVZqgzd8Toi2JCSHaMoQQYQAfAvAeKeUdUsqClPI0gDdBDVR+Vbvfmky9EOJFQohp7e9fALATwH9pp0V/UON51pyACCHeKYR4WgixKoT4vhBiV9XnpBDi3UKI4wCOC9XfCyEWhRAxIcSTQojLmn1vUsoogG8BuKrqsS/WTmlWhBBHhRBvqvrc54QQn9BKrpNCiJ8KISaEEB/TrvOIEOLqqvtfon1fUa2M9bXa7c/VTv6cVfd9gxDiSe3vDiHEHwohnhFCRIQQXxVCDFXd9+1CiDPa597f7Ps04OMA3irqlB/X+z7q3Lf8c9ROOu8TQvyt9vqcEkK8QvvcRwA8H8A/aa/lP2m3N3v9/0UIcbsQIgXgxdptn9S+JiGEuHfd78r1QoiHtN+Lh4QQ19e57r1CiB9qr+myEOLfhXYqW+v3V2wsw98mhPiOdt0nhBC/VfXYf6r9DD+vXeMhIcS1hn4yRES05QnGWls21pJSzgI4CeAF2k3PAnAIaqKo+jYHgIer44t6sZLmpUKI49pr8s9CCFHr+UVV1U/VY98ihDirxTvv1z73cgD/B8Cbted6Qru9XwjxWSHEnBBiRgjxYf01FWqc91Pt92IFwJ9W3faP2u/JESHEjVXXUzdeqnHtX9N+hjEhxI+FEJdqt78LwNsA/IF2rf+l3V6ukBNCeLXfmVntfx8TQni1z71ICDEthPg97fd5Tgjx6wZ+nESGMSFEW8n1AHwAvlF9o5QyCeB7AG5q9gBSyrcDOAvgNVoZ7F83ur8Q4vVQ35R+EcAogJ8A+PK6u70ewHUADgB4GdQ31f0ABgC8GUCk2XUJIYa15zihfRwEcBeALwEYA/BWAJ/Q34A0bwLwxwBGAOQAPADgUe3jrwP4O+2x3AD+C8Cd2mO9B8C/CyEuklI+CLUq5yVVj/sr2vMCwHu17++FALYBWAXwz9rjHgDwLwDern1uGMBUg+/xV/Tgp4EZAJ8G8Kc1vr7u99HkMXXXATgK9fX5awCfFUIIKeX7of5cf1f7nfhdg6//rwD4CIAQgPu0294G4M+153gcwL9r1z4E4DaoCa9hqD+b27Sf+4ZvFcBHob6mlwDYob8eBn9/vwxgWvv6NwL4i+oACMBrAXwF6u/ndwD80/oHICKi8xZjra0da/0YleTPC6C+1vetu+1BKWW++otqxUpVn341gGdDrTZ6E4CbGzz/ejcAuAjAjQD+RAhxiZTyDgB/AeA/tOe6UrvvrQCKUCu9rob6e1DdgnYd1ITXGNT4rPq2EQAfBPCNqmRbs3ip2vcA7NMe+1Fo8Z2U8lPa3/9au9bX1Pja90OtsrsK6mv0HKi/U7oJqJV42wH8BoB/FkIM1rkOopYxIURbyQiAZSllscbn5rTPm+2/AfiolPJp7Xn/AsBVourkSvv8ipQyA6AANUFwMQChfd1cg8f/uBAiBmBZu/73aLe/GsBpKeW/SSmLUspHAfwn1Dcs3TellI9IKbMAvgkgK6X8vNbr/R9Q3ywB9U2oD8BfSinzUsofAvgu1MAHUN8Q3woAQogQgFeiEoj9NwDvl1JOSylzUBMTbxRqNcobAXxXSvlj7XMfAKDU+0allF+SUl7R4LXQfRTAa9YFZEa+j2bOSCk/rb0+twKYBDBe575GXv9vSyl/KqVUtJ8BANxW9Xq8H8DzhDoT6VUAjkspv6A93pcBHAGwIXCQUp6QUt4lpcxJKZegBpsvNPINas91A4D/T0qZlVI+DuAzUANJ3X1Sytu11+ELUIMTIiIigLHWVo+1qquBng81yfOTdbfd2+Dra/lLKWVUSnkWwI9QVYFlwIeklBkp5RMAnkCdmEQIMQ7gFQD+h5QyJaVcBPD3AN5SdbdZKeU/aj/LjHbbIoCPaZVu/wH1YPBVBuOlMinl/5NSJqp+PlcKIfoNfo9vA/BnUspFLa770LrnKWifL0gpbweQhJokIzIFE0K0lSwDGBG1+4Intc+bbReAfxBq+W8UwArUCo7tVfc5p/9FCwD+CerJzoIQ4lNCLb+u571Syn4AVwAYROXUZxeA6/Tn1Z77bVBPEXQLVX/P1Pi4T/v7NgDnpJTVAcSZqu/hSwB+UStf/UUAj0opz1RdxzerruFpACWoiZRt6773FAyc0DWjvVn+E4A/W/epZt9HM/NVz5HW/tpX575GXv9zNb6u+vVIQv192ab978y6+9a8diHEmBDiK1o5dBzAF2E8AN8GYEVKmWjwPPNVf08D8NX5/xQREZ1/GGtt7VjrxwCu0CpQngvgASnlEQCT2m03oPX5QevjinqxVSdfuwuAG8Bc1ev0r1ArdnS14rIZKaWs+vgMKnFZs3gJgDonUgjxl0Jt6YsDOK19qpXYrDoG1K9BF1mXgG31NSRqiAkh2koegFqu+4vVN2olv68AcLd2UwpAoOou1W/sACBh3DkA/01KOVD1P7+U8v56jyel/LiU8hoAl0ItZ/79Zk8ipTwI4MNQy0SF9rz3rnvePinl77Rw7bpZADuEENX/PdgJtT0LUsrDUN+cXoG1JczQruMV667DJ6WcgXpSWL0RLAC1lNkMfwPgxQCuMfp9dGj974SR17/W71H169EHYEi77lmowUy1etf+Ue2xr5BShqHOa6jux2/0+zsLYEg7fWz2PEREROsx1trCsZaU8qR2re8CcFY7vALUn/u7oCYiHqz35e0+bxtqxWU5ACNVr1FYSnlpg68BgO3az1q3E5W4zGi89CsAXgfgpVBbu3Zrt+uP2+x1WR8D6tdAZAkmhGjLkFLGoJZZ/qMQ4uVCCLcQYjeAr0HtAf6CdtfHAbxSCDEkhJgA8D/WPdQCgAsMPu0nAfxR1fC4fiHEL9e7sxDi2UKI67Re8hSALNRTHiNuhXrS8VqoZcb7hTpI0K3979lCiEsMPla1n2nX8gfa47wIaqvSV6ru8yWoPewvgPp66j4J4CN62bYQYlQI8Trtc18H8GohxA1C3TryZzDpvzlSHfz4fwFUD6I08n20a/3vRLuv/yurXo8/B/AzKeU5ALdrj/crQh3O+GaocxC+W+MxQlDLhaNCiO3YGOTW/f3Vnut+AB8VQviEEFdA7Uf/9ybXTURExFjr/Ii1fgLgf2l/6u7Tbnu4qt1qvVZ+pp1aALBbT7BpLYF3Avi/QoiwUAdx7xVCNGupHwPwXu1n8stQZzPe3mK8FIKajIpATYL+RY1rbfS6fBnAH2s/1xEAfwK1+pvIEkwI0ZYi1cGE/wfqytA41DfgcwBu1Pp6ATVYeQJqSeedUHu8q30U6n+Yo0KI/93k+b4JdfXqV7Qy0aegnu7UE4Y6FHkV6klQBAbXm0p1gN/HAXxAK2F9GdTe6FmoJbV/BcBr5LFqPO5rteteBvAJAO/QSoR1XwbwIgA/lFJWl4P/A9TBw3cKIRJQT42u0x73EIB3Qw1w5rTvebredQgh3iaEONTCpf8DqgI8g99Hu/4Bar/+qhDi4x28/l+COrRwBWp109u0a49AnVXwe1B/J/4AwKvXvda6D0Hd8hGDOoj6G+s+3+z3961QT69moc47+KCU8q4m101ERASAsRa2fqx1L9REyX1Vt/1Eu61Ru9iaWKnJc3RKT5hFhBCPan9/BwAPgMNQX4evQ21jbORnUIdBL0MdNP1GLSYDjMdLn4f6ezajPff6CqrPAjig/a5/q8bXfxjAwwCeBHAQ6lDqD9e4H1FXiLVtk0RE1A1CiM8BmJZS/nGz+xIRERFR9wghfg3Ab0opb7D7WojsxAohIiIiIiIiIqLzDBNCRERERERERETnGbaMERERERERERGdZ1ghRERERERERER0nmFCiIiIiIiIiIjoPOOy+wIAYGRkRO7evdvuyyAiIqIueuSRR5allKN2XwdVMAYjIiLa2hrFXz2RENq9ezcefvhhuy+DiIiIukgIccbua6C1GIMRERFtbY3iL7aMERERERERERGdZ5gQIiIiIiIiIiI6zzAhRERERERERER0numJGUK1FAoFTE9PI5vN2n0ppvH5fJiamoLb7bb7UoiIiIhq2moxGOMvIiKi2no2ITQ9PY1QKITdu3dDCGH35XRMSolIJILp6Wns2bPH7sshIiIiqmkrxWCMv4iIiOrr2ZaxbDaL4eHhTR+I6IQQGB4e3jKnbURERLQ1baUYjPEXERFRfT2bEAKwJQKRalvt+yEiIqKtaSvFLFvpeyEiIjJTTyeEiIiIiIiIiIjIfEwImeTWW2/Fvn37sG/fPtx66612Xw4RERHRlsf4i4iIqH09O1R6M1lZWcGHPvQhPPzwwxBC4JprrsFrX/taDA4O2n1pRERERFsS4y8iIqLObIqE0If+6xAOz8ZNfcwD28L44GsubXifD3zgAxgZGcH73vc+AMD73/9+jI+P473vfe+a+33/+9/HTTfdhKGhIQDATTfdhDvuuANvfetbTb1mIiIiIivZEYMx/iIiIrIGW8Ya+I3f+I1y+bGiKPjKV76Ct73tbRvuNzMzgx07dpQ/npqawszMjGXXSURERLRVMP4iIiKyxqaoEGpWydMtu3fvxvDwMB577DEsLCzg6quvxvDw8Ib7SSk33MaNFkRERLTZ2RGDMf4iIiKyBiuEmvjN3/xNfO5zn8O//du/4Z3vfGfN+0xNTeHcuXPlj6enp7Ft2zarLpGIiIhoS2H8RURE1H1MCDXxhje8AXfccQceeugh3HzzzTXvc/PNN+POO+/E6uoqVldXceedd9a9LxERERE1xviLiIio+zZFy5idPB4PXvziF2NgYABOp7PmfYaGhvCBD3wAz372swEAf/Inf1IecEhERERErWH8RURE1H1MCDWhKAoefPBBfO1rX2t4v3e+8511S5qJiIg2K31OC2ezkJUYfxER0flOStn1+IstYw0cPnwYF154IW688Ubs27fP7sshIiKy3Jv/9UH83zuP2X0ZdB5h/EVEROe75WQOV3zoTtz/zHJXn4cVQg0cOHAAJ0+eLH988OBBvP3tb19zH6/Xi5/97GdWXxoREZEljszHMRPN4Pdetp9VQmQJxl9ERHS+m1nNIJEt4juPz+L6vSNdex4mhFpw+eWX4/HHH7f7MoiIiCwhpUQyV0Q8W8TxxST2j4fsviQ6DzH+IiKi800yVwQA/OjoYldbx3q6ZUyfW7BVbLXvh4iItrZMoQRFe+v60ZFFey+GLLWVYpat9L0QEdH5IZFVE0IL8Ryenkt07Xl6NiHk8/kQiUS2zJu4lBKRSAQ+n8/uSyEiIjJEP50CgB8yIXTe2EoxGOMvIiLajFJVMdiPjnYvBuvZlrGpqSlMT09jaWnJ7ksxjc/nw9TUlN2XQUREZEhSO53aPuDHw2dWEc8WEPa5bb4q6ratFoMx/iIios1GP5TbPuDHj44s4t0vvrArz9OzCSG32409e/bYfRlERETnLT0YefWVk/jXe0/ivuPLeOXlkzZfFXUbYzAiIiJ7Vcdgn/7xSUTTeQwEPKY/T8+2jBEREZG99GDkBftG0e93s22MiIiIyALJXBEepwMvv3QCigTuPdadql0mhIiIiKgmvWWs3+/GC/aP4p6jS1CUzT9XhoiIiKiXJbNFBL1OXDE1gKGgB/ccZUKIiIiILKRXCPV5XXjxRaNYTuZwaDZu81URERERbW3JXBF9PhecDoEX7h/FvceWUOrCoRwTQkRERFSTvuGiz+fCC/ePQghuGyMiIiLqtmSuiD6vusjjxRePYSWVxxPTUdOfhwkhIiIiqilRVSE03OfFlVMDXV19SkRERERqy1if1wkAeMG+ETgEcE8XDuWYECIiIqKaktkiXA4Br0sNF1580RiemI5iJZW3+cqIiIiIti61QkhdCj8Q8OBZOwdxTxcGSzMhRERERDWltP51IQQA4KKJEKQE5mNZm6+MiIiIaOtSYzB3+eOLJkKYjWZMfx5DCSEhxIAQ4utCiCNCiKeFEM8TQgwJIe4SQhzX/hysuv8fCSFOCCGOCiFuNv2qiYiIqOsSuSKCHlf546BWupzOF+26pPMOYzAiIqLzTyJXaRkDgKDXhVSuZPrzGK0Q+gcAd0gpLwZwJYCnAfwhgLullPsA3K19DCHEAQBvAXApgJcD+IQQwlnzUYmIiKhnJbNFhHyVhFBASw7p28fIEozBiIiIzjPqDKHqGMyJTKFk+qaxpgkhIUQYwAsAfBYApJR5KWUUwOsA3Krd7VYAr9f+/joAX5FS5qSUpwCcAPAcU6+aiIiIui6VXxuM6H9P580/oaKNGIMRERGdf0qKRKZQKm8ZA6pjMHMP5YxUCF0AYAnAvwkhHhNCfEYIEQQwLqWcAwDtzzHt/tsBnKv6+mnttjWEEO8SQjwshHh4acn84UhERETUmWS2iOC60ymgso6euo4xGBER0XlGr8QOVrWM6VXaZh/KGUkIuQA8C8C/SCmvBpCCVppch6hx24a6Jinlp6SU10oprx0dHTV0sURERGSdhDZUWhdkhZDVGIMRERGdZ/SEUMi3cY6j2YdyRhJC0wCmpZQ/0z7+OtTgZEEIMQkA2p+LVfffUfX1UwBmzblcIiIiskoqV0SoVoUQh0pbhTEYERHReUZP+lS3jNlWISSlnAdwTghxkXbTjQAOA/gOgFu0224B8G3t798B8BYhhFcIsQfAPgA/N/WqiYiIqOvWt4x5XQ44HQLpLmy5oI0YgxEREZ1/EtmNLWPBLrXtu5rfBQDwHgD/LoTwADgJ4NehJpO+KoT4DQBnAfwyAEgpDwkhvgo1YCkCeLeUkpEjERHRJlJSJFL50pqh0kIIBDxOVghZizEYERHReaRWy1igS237hhJCUsrHAVxb41M31rn/RwB8pP3LIiIiIjvpSZ/qYAQAgh4Xh0pbiDEYERHR+SWZ3dgyplcIJW2YIURERETnmVR5w8W6hJDXiRSHShMRERF1RarGlrGgjWvniYiI6DxTOZ1anxByIc0KISIiIqKuSOgtY2sqhNR4LGXyHEcmhIiIiGgDPRjpW9cyps4QYoUQERERUTckawyV9mstY6wQIiIioq5LlU+nNs4QMjsYISIiIiJVKl+E3+2Ey1lJ13hcDnicDtMP5ZgQIiIiog0qp1PrKoS8Lq6dJyIiIuqSRLa4If4CgIDXaXrbPhNCREREtEG5ZWxDhRDXzhMRERF1SzJX3LDlFdA2vbJCiIiIiLqt3DK2YYaQy/SBhkRERESkSuWKGw7kAG2OIyuEiIiIqNvqtYz1edUKISmlHZdFREREtKUls8U1A6V1QS8rhIiIiMgCyVwRXpcDbufaUCHgdUFKIFtQbLoyIiIioq0rkSuir2rlvC7IGUJERERkhfr96+qJFecIEREREZkvVScGC3CGEBEREVkhmauz4cKj3sZNY0RERETmU2OwGi1jHifSJh/IMSFEREREGySztQca6gEKK4SIiIiIzKfGYBtbxgJe8xd7MCFEREREGyTrbrjQKoSYECIiIiIyVa5YQr6k1G3bZ4UQERERdV29hJBeIZRkyxgRERGRqfQKIH1mY7WAx4V0vgRFMW/TKxNCREREtEEyV0RfrdMprz5DiBVCRERERGZKZtX4qs+3sWVMP6hLF8w7lGNCiIiIiDZI1asQ0lrGzN5yQURERHS+S2oHbjXb9rUqbTMP5ZgQIiIiog0SdYZKB7QSZs4QIiIiIjJXo4RQNw7lmBAiIiKiNQolBbmiUmeGkBaMcIYQERERkamSuQIA1Gzb1w/lUqwQIiIiom7RA41awYjX5YBDsEKIiIiIyGz60o5Gh3JpVggRERFRtyS0gYbBGsGIEAJBj4sVQkREREQmKw+VbtC2nzLxUI4JISIiIlpD718P1QhGAHWooZnlykRERETUuGWs0rbPhBARERF1SaOWMUAdamjm6RQRERERqS1jQgABt3PD58qLPUys0mZCiIiIiNZI5Oq3jOm3m9m/TkRERERqy1jQ44LDITZ8Tm8jY8sYERERdY3ev163ZczDljEiIiIisyVzhZrzgwAg4OFQaSIiIuqypi1jrBAiIiIiMl0qV6obf3lcDridgjOEiIiItgpFkXjzvz6Azz9w2u5LKUs2aRkLeJycIURERESb2tlIGi/46x/h6bm43ZdSlsgV68ZfgFolxAohIiKiLeLe40v42akVPHEuZvellJXXznvqD5U2c6AhERERkdU+d/9pnF1J49hCwu5LKUtmC3Vb9gEgaHLbPhNCRERENvr8/acBmLtCtFOpXBFBjxPOGgMNAa6dJyIios0tlSvia4+cA1CpjO4FqVyp7gwhAAh4zd30yoQQERGRTU4vp3DPsSUA5m6M6FSySbmyvnZeSmnhVRERERGZ41uPz5Qronup6rl5DOZEimvniYiINr8vPHgGTiGwf7yvp4Y0J3LFugMNAXW2kCKBXFGx8KqIiIiIOielxK33n8Ylk2EAvXUol8gWEGoSg6VZIURERLS5pfNFfPXhc3j5ZRPYPRzsqRasVK7YuH/d6yzfj4iIiGgzefDkCo4tJPHr1++G3907bfBSSqTyTVrGPC5WCBEREW1233psFolsEb92/W4ETe4H71Qy27hCKKANm+6lqiYiIiIiIz7/wGkMBNx47VXbEPQ6keqReCZbUFBSZJMqbScrhIiIiDYzKSU+/8BpHJgM45pdg2ow0mv963U2jAFq/zrQWyXWRERERM3MRjO48/AC3vzsHfC5neqhXI9UCCVyBQBounbezAQWE0JEREQW+/mpFRyZT+CW63dBCKEOae6RYARQ1843rBDSApVeSmIRERERNfOln52FIiV+9bpdAMxvwepEUhty3WztfJpr54mIiDavh06vAABefcU2AGowkisqKJZ6Y0hzKt9khpCHM4SIiIho8/n56RVcvWMAO4YCALQES49UPOuJqeZr50tQFHM2vTIhREREZLF4tgif21EuCS4Pae6BHnYpJZLZxitPKzOEeiOAIiIiIjIinilguM9b/niztYzph3KZgjkxIxNCREREFotnCgj53OWP9Tf+Xkiw5IoKik0GGvaxZYyIiIg2oUS2uGatey8NlS63jDVZOw+YN8eRCSEiIiKLxbMFhNcEI3qCxf6EUDLXvH89oFU09UICi4iIiMioeKaAcPWhXA/NcdSTPI1axvSq8rRJh3JMCBEREVkskS0i7K8ORvSZPPafUOmnU43LlfXTKfuvl4iIiMgIRZFI5tfFYD3UMmYkBgt4WCFERES0qa1vGTP7zb0TeoVQo9Mpn9sBIWDqlgsiIiKibkrkipASa6q0Ax4n0vkSpDRnSHMnEjkDLWPlOY6sECIiItqU4tnimmCkl2bylBNCDYIRIYRaYs0KISIiItok4hl1aHN43RzHoiKRK9q/6TWVK8LlEPC66qdp9LZ9s6qamBAiIiKyWCJbWFOu3EszefRy5UYVQoB6otYrJdZEREREzSS0GCfsr5rj6NFjMPsPufQtr0KIuvcpt+1zhhAREdHmI6VEPLN2w4WefEn2QILFSMsYoPXc90DwRERERGREPKtWCNXa9NoLh1yJXNHQgRzAGUJERESbUq6oIF9S1pQr62/uZm2M6ISRljFA3XLBGUJERES0WdRrGQN6Y45jKldsOD8IqBzYmRWDMSFERERkIf10ak3LWA8NlY7VCJZqCXhcPXG9REREREbUahkL9NCm11im0DQhVJ4hxKHSREREm088owUjVW/4ToeA390bM3mi6Tx8bgd8bmfD+wW1rRxEREREm0GtlrG+HmoZi6YLGAh4Gt7H43TA5RCmzZ1kQoiIiMhCiWztCpyg19kTM3mi6QIGmwQjABDwunoieCIiIiIyQq8QCq1ZO6+vcbc/plFjsMYV2kIIbbEHK4SIiIg2nXiNcmVA7WHvhZk8qwZOpwBWCBEREdHmEs8UEPA44XZW0iCVCiH7Y5rVdN7QoVzQ62KFEBER0WakDzQMrasQCnhcSPZAMBJN55ueTgH69dqfwCIiIiIyIp7dOKOnMpPH3pgmky8hV1QMHcqxQoiIiGiTKg80XN8y5nH2RLnyajqPAQMJoaBXrRCSUlpwVURERESdSWSLNeKv3qgQWk3nAcBgDGbeYg8mhIiIiCxU2TK2sWWsF2byGBloCKgVQiVFIldULLgqIiIios7Es4U1W14BwOd2wCHsHyqtJ4SMVWk7kWaFEBER0eYTzxTKW8Wq9cJQaSklopnmAw2BSs895wgRERHRZhDPFDe0jAkhEPSYV3HTrmhaPTA0cijXxwohIiKizUktV3ZBCLHm9qDH/qHS8WwRJUUa2zLm0Xrue6CqiYiIiKiZRLawoWUM0Bd79EbLmLEYzGXagRwTQkRERBaqVa4MqMGI3UOao+X+dWMbLgBWCBEREdHmEM8WN7TsA+pg6aTNFUKrWoWQkSrtoNdp2oEcE0JEREQWimc2brgAtH5wm4c0txKMlCuEemAQNhEREVEjUkotBqtxKNcDVdrRlPFDOVYIERERbVK1NlwAasVN0eYhze1UCLFljIiIiHpdtqCgqMg6MZh5a9zbFc0UEPQ44XE1T9EEPU6k8kVTDhGZECIiIrJQvF7/ulZxY2cLVrSdCiGbAygiIiKiZupteQXQE0OlV9N5QwdyABDwuiAlkCl0HoMxIURERGShWhsugN6ouFltpULIo88QYoUQERER9bZ4Rk0I1WwZ85rXgtWuaLqAAQMHckDlENGMQzkmhIiIiCyUaDBUGrB3Js9qugAhgP4a17de5XpZIURERES9LZ5V46twzUM5p+2LPVbTeUMbxoDqxR6dXzMTQkRERBYplhSk8qWaLWO90IIVTecR9rnhdIim9w16tRY3zhAiIiKiHldpGasVg/XAUOkWKoQCHr2qnBVCREREm0ZCO52q1TLW1xMtYwVD84MAwOdyQghWCBEREVHv01vGalcIuZDKl6Aodm56baVCSJ87yQohIiKiTUNPCNU7nQLsnckTbWGgocMhEHA7bT9RIyIiImqmHIM1WOxhxpDmdpQUiVjG+KFcuULIhEM5JoSIiIgsUi5XblghZF/FjXo6ZSwYAdQtF3Zv5SAiIiJqplHLmN1zHOOZAqQ0ttQDqFQImVFVzoQQERGRRRptuAjob+52DpVOFQyXKwPqiRrXzhMREVGvi2eKcDsFvK6NKZBKgsWemEbf8joYNLplzLwxA0wIERERWaS84cJfo3/dxAGB7WqlZQxQT9Ts3spBRERE1EwiW0DY54YQGxdnBExMsLRjNa0eGBqvEFKv14wYjAkhIiIii1RaxjaeAPncDjiEfcFIvqhuQDO64QIAhoIeRJK5Ll4VERERUefi2WLNdjHA/sUesYxaITRQ5/rW6/e74RBAJJnv+LmZECIioi3pkTOr+ONvHYSU9m2MWK+y4WLjG74QAkGPfTN5olow0soMobGQD4sJJoSIiIio4vMPnMaXf37W7stYI54p1NzyCgABj761y6aWsZQaHxpt23c6BEZDXiwmsh0/t6GEkBDitBDioBDicSHEw9ptQ0KIu4QQx7U/B6vu/0dCiBNCiKNCiJs7vkoiIqIW/cs9J/DFB8/atjGiFn3DRV+dgCTodSFtU8tYtMVyZQAYD3uxlMjZuqZ1q2MMRkREm0muWMLf3HEUX3v4nN2XsobeMlZLn81DpcszhFqIwcw6lGulQujFUsqrpJTXah//IYC7pZT7ANytfQwhxAEAbwFwKYCXA/iEEMLZ8ZUSEREZFM8W8ONjywDsncmzXjxbQMjrgtOxsX8dUAdLJ+0KRlLtBCNeFBWJlXTnJcvUEGMwIiLaFH5ybBmJXNG2apt61JaxOhVCNreMRdMFOATqVjDVMhbyYiFubUJovdcBuFX7+60AXl91+1eklDkp5SkAJwA8p4PnISIiasndTy8gX1IAAOkeWosezxQbvtkHPS6kbR9o2ELLWNgHAFg0ISChljAGIyKinnT7wTkA9m5NrSWeKSDkrR3jBD32bxkbCHjgqHNgWMtY2Iclq1rGAEgAdwohHhFCvEu7bVxKOQcA2p9j2u3bAVTXh01rtxEREVnitifny3/vpROqRLZQd6AhoK49tSsYiZZXnrbWMgbAlB52qosxGBERbQq5Ygl3HV4AAGR6KP4C1Lb9uhVCNm8Zi6YLLR3IAWqFUCSVR0E7AG2X0ZqkX5BSzgohxgDcJYQ40uC+tdJaG4YLaEHNuwBg586dBi+DiIiosUS2gB8fX8KFY304sZjsrQqhBv3rgFohNB+3J7miVwi1OlQaYIVQlzEGIyKiTeG+42q72L6xPkyvZuy+nLJ8UUGmUKobg3lcDnicDqTsGiqdzrfUsg8AY2EvpASWkzlM9vvbfm5DFUJSylntz0UA34RafrwghJgEAO3PRe3u0wB2VH35FIDZGo/5KSnltVLKa0dHR9v+BoiIiKrd/fQi8kUFv3zNFIAemyHUrGXM67KtoimazsPjcsDvNj5yZjTECqFuYwxGRESbxW0H5xD2uXDTgXFkCiWUemTpRCKrHno1jsGcth0irqYLLR3IAcC4SYdyTRNCQoigECKk/x3AywA8BeA7AG7R7nYLgG9rf/8OgLcIIbxCiD0A9gH4eUdXSUREZNBtB+cwEfbhFy4cAdBbM4QSueYtY0nbZgjlMRhwQwjj/es+txP9fjdXz3cJYzAiItos9Haxmw5MlNufemXTq77ltVEMFvC4bIvBotoMoVaMldv2O4vBjLSMjQP4phYgugB8SUp5hxDiIQBfFUL8BoCzAH4ZAKSUh4QQXwVwGEARwLullL3xm0BERFtaIlvAvceW8CvP2Vk+Beq1CqFwg9OpgI1DpaPpAgb8rQUjgNrDzpaxrmEMRkREm8JPTywjkS3iVVdMYDaqVg6n88XySnc7xbUKoYZt+14n0rbNcSxgoEGyqpZy236HVdpNfzpSypMArqxxewTAjXW+5iMAPtLRlREREbXoh0fUdrFXXTFZHhCY7pHTKSklEtkCQg2DERdS+RIURba0acIM7Qw0BNQTqgW2jHUFYzAiItosbntyHiGfCzdcOIrbDqrdyulcCQjZfGFQD+SAZi1jLls2o2ULJWQKpZaWegDASJ8HQqDj1fOdrJ0nIiLqKbc9OYfxsBfX7BxE0KvOwrGr4ma9VL4ERaLuhgugsvbUjhLrdgYaAmoPOyuEiIiIzl/5ooK7Ds/jpgPj2jxCrUq7R9r29RlCDdv2PS5btoxFtaUerR7KuZwODAe9Ha+eZ0KIiIi2hEJJwb3HlvDySyfgcAj4XGpyxa6NEevFM0bKle0LoFbTBQwGW68QGg17sZTIQcreGBxJRERE1nr49Ari2SJeedkkAFQO5XolBjOSEPI6bbne1XQeANo6lDOjbZ8JISIi2hJWUnnkigr2jau1yQ6HQMDj7JkKoXh5w0XjYASwfu6RlLKtgYaA2sOeLynlEy4iIiI6v8xE1RXz+7UYTG/bt6PiphZDLWM2DZXWE0LttO2Pm9C2z4QQERFtCZGk+oY6XNWDHfC4emaGUGXDReOh0oD1AVQyV0RRkS2vPAXU0ymg8y0XREREtDmtpNQYbKhPjcH0A65Mj1QIJbIFCAH0eRrEYDZVCOkHau1VCHXets+EEBERbQnlYKQqIaRujOiV06nmLWP6Jg6rE0KV/vU2ZgiFzdlyQURERJvTSioPj8tRnoUY1A+4eiQhFM8WEfK6Gi7sCHrtrRBqKyEU9mI5mUNJab9tnwkhIiLaEiIp9YRkuK/yhup3O3smGNErhBqVKwc89vTcd9q/DnS+5YKIiIg2p+VkHsNBD4RQEy7+cjzTI4dyTba8AmoSK19UUCgpFl2Vqt2h0gAwFvZBkUAk2X4MxoQQERFtCZWWMW/5tqDX1VPBCNB4oGGfTUOlVzsKRvSWMVYIERERnY9WUrk1B3LlCiGLZyLWE88UG8ZfQGWxh+WHcqk8fG4HfG5ny19rRts+E0JERLQlrKTycDoE+qve8AMeZw8FI/pQ6Ub963a1jOkVQq0nhAIeF0JeF1fPExERnadWUnkMVR3I+dwOCAFkeuhQLtwg/gJQbnezPAbLFNqq0AaqE0LtH8oxIURERFtCJJXHYMC9pj886HH10EDDIrwuB7yu+idAlWDE2mvuZIYQoK6eZ4UQERHR+SmSyq9Z6iGEQNDj6qm2/WYtY4FyhZD1h3Ltxl/6HMdO2vaZECIioi0hksytGSgNqBsjrG6/qieeLTQtV7Zry1h55WmT66tnLORlhRAREdF5KpLMb4jB/B5n77TtZwoNt7wCQJ+2GS1p8aHcarrQVoU2AIz0aRVCTAgREdH5biWVXzM/CFBbxuxYIVpLPFNsWq7scTngcTosP1GLpgsI+VxwOdsLC8bDPq6dJyIiOg9l8iVkCqU1M4QAteq5Z9r2s4WGW16ByqGc1dtpV9P5tlvGPC4HhoIetowRERGtpPIY2hCMuCyvtqnHyIYLAAh6rT9R6yQYAdQKoYV4FlK2v/aUiIiINp/yltf1VdoeV08cyimKRDLX/FCustjD+kO5dpZ66NQYjBVCRER0nlvfvw6owUiuqKCk2J+oiGebb7gA1GtOWn461X65MgCMhXzIFRXEs72RfCMiIiJrrKTUtvOhdVXadhxw1ZLMFyFl4y2vgFpVDljbtq8oEtFOD+XCPiyxQoiIiM5nhZKCWKawoX89qPWD90JAksg033ABaAGU5UOl2x9oCFRWz3cSkBAREdHmE0nqCaH1M4R6Y6i0vuW1WctYsFwhZF3MmMgWoUh0XCHEtfNERHReW9VOp4b71p5O+T16QqgHAhIDGy4ANSCxehD2ajrfYTDS+ZYLIiIi2nwiWgw2UmOGkNXzeGpJaNXLoWZr5/UtYxYeypWXenRwKDce9mIpkYPSZjU8E0JERLTp6cHI+paxoE1bu2pRt4wZqBCyYe5RNFXosFxZ23LBCiEiIqLzyoo2Q2jDptcemSFUrhBq1jLm1reMWReD6QmhTtv2i4rEivZYrWJCiIiINr1K//r6YKQ3KoTS+SLyRQX9BmYIqT331l3vUzMxJHJFXDAabPsxxsNqhRBXzxMREZ1fIqk8PE5HeSizrldmCK2m1YRQsxjM4RDadlrrrvnBkysAgD0j7cdgY6HOVs8zIURERJvecrL2hoty+a/NCaHlhF5O7W1yT7VCyMrTqc8/cBp+txOvu2p724/R53Uh4HGyZYyIiOg8E0nmMRT0QAix5vZAj8wQ0mNEIzGYutjDmmsuKRJffPAMnnfBMC4Y7Wv7cca0Q7mFNqu0mRAiIqJNr1mFkNUzedZb0oKRUSPBiIUVQqupPL79+Cze8KzthqqXGlGHGrJljIiI6HyykspviL8ANQbLFxUUSooNV1VRPjTsa94ab2VV091PL2AmmsEt1+/q6HH0CqElVggREVE3lRSJO56ax7u/9CiemonZfTlrrKTycIiNQ/kCHusHBNYSaeF0Kui1bobQVx8+h1xRwTue11kwAqg97J1suSAiIqLa4tkC/t99p/CeLz/WE21Y1SKpfM1kS6+07UeS6uIMt7N56kOd42jN9X7+gTOY7PfhpZeMd/Q4o6HO5jg2n25JRETntXS+iC8+eAa33n8GM9EMAGDfWB8u295v85VVRFJ5DAY8cDrWlyv3RoXQsraSdSRk4HTK40KuqKBYUuAyELy0q6RIfOHBM7huzxAungh3/HhjYS8OzcZNuDIiIiICgHMraXzmJyfx9Uemy+1Xv3b9blyza9DmK6tYSeWwZziw4Xa9bT+TL3VchdyJ5WTO0IEcoFYIWXEod2IxgftOLOP3b76o41jP53ZiIOBu+1COFUJERNTQx35wHH9x+xHsGPLjk796Dfq8LkS1AX29YiVZu1y5skLU7oSQPuPIWIUQgK733f/wyCKmVzO45frdpjzeWMiHhThbxoiIiMzyW59/GF/++TncfNkEPvKGywAA0Ta3SXWLGoNtjG9651AuhxED7WKAGoNZUYH1+QfOwON04M3P3mHK442FvG3HYEwIERFRQ8cXEjgwGcZX3vU8vPyyCQwG3T0XjERSubr96wCQLtg8VDqZQ7/fDY/LSLmyFkB1OYn1+QdOYyLsw00HOitV1o2FvUjnS5YOxCYiItqqFEXimaUkfv2G3fi7N12FGy4cAYCeOpTLFkpI5Ut1WsZ6o21/OZk3XiFkwWKPRLaA/3xkGq++YtLwdTXTSds+E0JERNTQXCyLbQO+8seDAU95hWeviKRqv9l7XQ44HaIHgpGcoWGGABDWyqpjme69xicWk/jJ8WW87bqdhnrqjRgP62tPWSVERETUqUgqj0JJYlu/H0BlTuJqDx3KRbSlHuu3vAJVB1x2VwgljLeMhf0uxDLdvd5vPDqDVL6Ed5hUoQ2oh3JcO09ERF0xH89ior+SEBoIeHquQqjehgshBAJuZw8EI8ZPp/TvQ9+c1g3feXwGTofAW56z07THHAupvyMcLE1ERNS5+Zh6wKLHYCGvCw7RWxVCK8naW14BIFA1Q8gu2UIJiVzRcMvYUNCD1XQeiiK7dk3ffGwGl2/vx1U7Bkx7zLGQD0uJHKRs/bqZECIiorqyhRKi6QImwlUJIb+7pyqEiiUF0XShZjACaGvce6BCyMjKeaByyhbpYkLozEoak/2+8mYKM+gDI3spUCUiItqs5rWKWz0GczgEBgKeHqsQqr/SvRcqhJZb2PIKAENBL0qKRDzbvVjm7Era9MUsAwE38iUFmTZGJDAhREREdVVOp/zl2wYD7p4KRla0a6nXkhX0uGyfIbTUwkDDYS1oWUl2r9JmLpYtl6CbRU8IdTOIIiIiOl/Mx9TNrpNrqrTdPXXwEilXCG1MuPj1OY42HsqVt7waTAjpsZr+dWbLFkpYSeWxrepnaoZyDNZGuxsTQkREVNeclhCaXNcylsgWUSwpdl3WGivl/vXab/ZqhZB9p1PZQgmJbNFwMDLgd8MhulshNB9b2wZohnA5GOmdQJWIiGizmotl4XKI8kERoM9x7KFDuVT9Q7mgR9+aamOFkNbGPmKwIrrbbfv6JjDTYzBf+/MnmRAiIqK69Deu8XD1UGmtNahH/uHfqH8dAAJul63BiB5UGA1GHA6BwYCnawkhKSXmY9k1ST4zhLwuCNHdYdhERETni/l4FmMhL5wOUb5NrdLunffZSCoPt1MgpM0LqhbwahVCNs4Q0lvaWpkhBAArqe5UaVcOWrtTpc2EEBERmWoutvEkY1B7s+yVwdKRBqdTgFYhZGMw0mr/OqAGJCtdKleOpPLIlxTTE0IOh0DY52ZCiIiIyAS1qnl7bbHHSiqHoaAHQogNn/M4HXA5BNK2zhBqrWVMrzbv1qHcnN4GONCdljEmhIiIyFQL8SxCPhf6qk5+KmtPe+Mf/hEt4VKvQijocSFlY8tYJSFk7HQKUJNb3SpXrjUXyiz9fjdbxoiIiEwwH89uqCTptTmOkWS+5vwgQNv06nEiZeMMoaVEDiGvCz6309D99Vgy0qVDufJBa9jstn01Tm8nBmNCiIiI6pqLZTZUkpRbxnokIbSSykMIta++loDHaevK0+VEa6dTgHpCtdz1cmVzgxFADUhYIURERNQZvb27VoVQtqAga/OyDF0klW944BXwuGyuEMrVrSCvxeNyIORzdfVQLuxzIVijxa4TrBAiIqKumI9l18wPAiqJl145oYqk8hgMeNb02FcLel1I2ZgQWmq3ZWyTlSsDakDChBAREVFn4tki0vnShkqSgR48lKtXoQ2obft2xmDLyVxL8RcADAe7N8dxNprFtgHzK7RDHCpNRETdoJYr1wtGeiMh1CwY8Xuctp9OBT3O8vpVI4aCHkTTha5sctO3lozUKfHuBBNCREREnau3jarXDuWaxWBBj8veKu1kvuWEkHoo150q7fl4xvQNYwDgdAiEfO1VaTMhRERENRVKChYTuQ2zZvq8LrgcoodmCDULRpwolCTyRfOTK0YsJ/OGN4zp9PLrbrzGetWXo05FVSf6/W7Es/Yl34iIiLaCeu3d+qFcLySEsoUSkrkihhtVCHmcts9xHAkZbxkDgOE+b9dmCHVjy6su7HMjnmVCiIiITLKUyEHKjYPvhBAYCLh7pkIokso17V8HYFuV0HKi9XLlofKWC/NPqGajGWzrQrsYAG4ZIyIiMsG81t5dr22/F1rGVspbXuvHOAGPfZteCyUF0XShZ1rGcsUSlpN501fO69pd7MGEEBER1TQfrz98eCDgwWrK/mAEMFCu7FVbtewKSJolrGrRv59urJ6fj2e7smEMAMJ+N/LF3hl2SUREtBnNx9QDoV6e46gnhBrPEHIhZdOBnH597bSMrabykFKaej0L2s+0Gy1jQPtt+0wIERFRTZX15BvfuHpl7WmxpCCaKdRdeQr0QIVQG/3r+kYMs0+opJSY62K5cidbLoiIiEg1H89gpM8Lj2vtP9d7aai0HqM0ahkLepxI27R2finR+lIPQE0IFRWJeMbcuLG81IMJISIi2gz0/vX1LWOAWiHUC8HIaroAKRsHIwFtmHPKhoCkWFKwmm4jIaRXCJmcEFpJ5ZEvKl1PCLVTskxERESquVgWE/0bYwef2wm/24nVLm3BakVE26LasELIxrXzy9r1jbY8Q0i9/7LJbfuVuVDdqtJ2tZXEYkKIiIhqWohn4XU5yqdR1XqlQqjSv958hpAdJcsrqTykRMstYwMBD4Qwv0Ko3pBKs4RZIURERNSx+VgWE+HaiQM1BrP/fbaVGUJmt18ZsZzUK5haPZRT72/2oVy3YzBWCBERkan01iIhNm6jGgx4EM0UbHmDr6YPXTYyQ8iOtadLyfbKlZ0OgcGAp3z6Zpb5Lp9OsWWMiIioc/Px+u3dAwEPYhn7D+UiqTzcToGwz1X3PkGvC0VFIl+yftOrXiHU6qZXPaY0e9PYfCyDsM+FoLf+69WJfr8bmUKp5a26TAgREVFN87HMhmGGuoGAB/migozNw4PLp1MGZgilbEgI6adTrQYjgBqQmH861f3+dYAJISIionZlCyVE04W6w4cHeqVCKJnHYMBT8+BQp7ft2zFHaDmRg8/tQFC7BqP0qnOzY7DZWLZrB3JA+zEYE0JERFRTo9OpQa2NzO6ARD+9ady/rgcj1reMLbc50BBQv6dutIy5HKJheXcnmBAiIiLqzHyDGY6AWqXdC237kVSuYfwFAEF9sYcNB4jLyRxG+rwNE1a1VCqEzK/S7taGMaD9tn0mhIiIaANFkViI5equJx/Q157aPNQwkspDiEqCqpagrRVCekKotRlC+teYfTo1H8tiPOyD09FacGRUSCsbN3szBxER0fmi2ayZgYC7JxZ7RFLNl2YEvDYeyrWx5RUAvC4nQl5XVw7ltg10PyEUzzIhREREHVpJ55EvKZgI134jHeyRtaerqTz6/W64nPXfzvx2Vgglc/C6HOhro198KGj+DKFurpwHALdTLc1mhRAREVF75uNqe/d43SptD6LpPBTF3jmOq6k8BptUCJU3vdp0KNdOQggAhkw+lMsXFSwnc3UHhZuBLWNERGSacrlyswohm0uWY5lC+Q2wHo/LAY/TYUu5ckQ7nWq1XBkAhoJeRDMFlEwM+OZima6WKwO1t1yUFIloD5S3ExER9br5mHoYVK9lbCDghiKBRNbealw1Bmt84KXPcbSrQqjVlfM6s+c4LsS7u2EMqCSE4utisGZLVZgQIiKiDeablCtXKoTs/Ud+PNs8IQSoJct2BCNLyVxbA6UBYDjogZTmJd2klFq5cvdOpwC1ZHl9Qmh6NY2r/uyurj4vERHRVtBsG9VgDxzKSSkRzxabxmDlGUIWVwiVFImVVPsVQsNBT7nt3wzlNsButoz5alcIff3R6YZfx4QQERFtMBfXK4TqbxkD7B8qHcsUym+AjQTcTtu2jI00Kaeux+wtF9F0AbmiUvfE0Sz9fveG/vXZaLarz0lERLRVzDUZPjwY1Bd72JcQSuVLKCmyaQymzxBK5a09lFtN56FINbHTjuGg19QKoW5veQXqVwjNRTMNv44JISIi2mAhloXTIeqerHhc6qwYu2cIxQ20jAFAwOtC2uJgBOiwf7285cKcgGTWgmAEUCuE1gcj+jwEIiIiamwhnq3bsg9UDuWiNs7r09/nm8Vg5U2vFh/KlZd6tFmlPdSnbnKT0py2/bkmoxjM4HE54HdvnOOoV/3Xw4QQERFtMBfLYjzkbbiNakAbaminWKaIcJP+dQAIepyWByOKIrGSymOkzf714aAaxERS5pQsl9sAu9wyVmuG0FyTYISIiIhUc7EsJhtU8w747W/b19/nw00TQtqmV4vb9pcT6mvTSctYoaS2xZlhPpZFyOdqa8lIK9qJwZgQIiKiDebjmbrbLXSDQbftQ6Xj2ULTYARQA5J0ztqE0Go6j5IiO64QMqtkudkaW7PUDEaiWUOVXEREROezQknBUjLXMAYrzxBKsUKonnKFUMdV2uYcys3FMl2PvwAg7HfVSAixZYyIiFo0b2A9+WDAY+sMoWyhhHxRMTZDyOO0vH99OdnZ6dRgwA0hzGsZm4tl4GrQBmiWfr8b6XwJhZJS9dzdXXdPRES0FSwlcpCy8eFN2K/GBz1RIdQkBnM7HfC4HLYlhEbbrRDSvs7MQ7lutovp+v1uxDOVeFdfKNIIE0JERLSG/uYxEW78xmV3y5jR0ylAnyG0uU6nXE4HBvxuU4OR8bCvYRugGcI+tRy6eo7QfLz76+6JiIg2u8qsmfrvmU6HQL/fbeuhnN5KZSgG8zgtn+O4lMzB43QYGitQiz6MOmJiDLbNgjhofZW2vlCkESaEiIhojUSuiHS+hIn+xomMwYC9wUishYRQ0OO0vn9dP51qc4YQoJYsmzlDyIqkTH9g49rTuWgWkxacjBEREW1m+ry/ZhtB1Spt+yuEjMVgLqQsbtuPJPMY7vNAiPYOwcxs288XFSwnc5bEYOF1CaHZJu1iABNCRES0zmJcTUCMNwlGBgIexLMFlBRzNjC0yuhAQ0CdIZSxvEKos5YxQB0sbV7LmEUJIf/ahFC2UEIklWfLGBERUROLCTUh1DwGc9u66VV/j+/zNa/AsaNCqJMtr4C5M4QW4tmmbYBmCfvWbnpttmEMYEKIiIjWiWXUBIS+1rSeAb8bUmLD8DqrxLMtnE551RlCZq0PNWIpkYPLIQzNOKpnuM9jyumU2gaYsaxcGaiUk+sJRraMERERNaYneZrFNnZXCMUzBYR8LkNt6Ha07S8lchjua79C2+d2os/rMqVlbD6uL/WwZoZQIlcsH9Ya2fLKhBAREa2hJ3gGmgUjQfXzdgUklYGGzU+n/B4nFImmfdRmOrGYwO6RIBwdzOwZCpqTEFpNF5AtKJYMNNQTYPrPRy9X3saWMSIiooZimQLCBhItdlcIxTMFwwdeQYsrhEqKxMmlFPaMBDt6HLNisNmoGgdZUSGkJxIT2qHpXCzT9HeJCSEiIlrD6OmUXkFkV0Cib1Ew2r8OwNI5Qodm47hsW7ijxxgOerCira9v5txKGn/4n0/i6bn4hs+dWEwCAC4Y7Sw4MmJ9y9i8gQGZREREpL536rP4Ghnw27zYI1swFH8B2qZXC2cInVpOIlMo4bJt/R09TisJocfOruLW+0/XrEQ/sZiE0yGwczjQ0fUYsT4Gm4tlMR5q3DrHhBAREa2hJ3gGmgQkg+WEkM0VQgY3XACwrGQ5ksxhLpbFpSYEI1Iaf42/8tA5PHp2dcPtxxcTAID946GOrscI/ecRrwpGAGtOxoiIiDazaDqPAX/zVqfBgBupfAl5Cyufq8UyBcMbvAIel6UVQk/NqAdjl27v/FBuuckcx5Ii8fG7j+ONn3wAH/zOIZxb2TjE+fhCEruGA/C6nB1djxHhGodyzQ7kmBAiIqI1opkChABCTUqBBwN6y5hdFUIFBDxOuJ3N38qCXjVosSohdGjWpGBEG4ho5IRqatCPPq8LR+cTGz53fCGJoMdpyQwhn9sJr8tRlRDKIOxzlX8GREREVFs0U2h6IAcAA0F7D+XimaLhCqGg12npDKFDszF4XQ5cONrX0eOoFUL1h0rPRDN466cexN/ddQzP2jkAADgyv7FK+9hiAvvGOrsWo8pzHLUq+rlYFpMDjVv2mRAiIrKBokh89r5TWDWhN9lsel948/51+yuEjPav6xVCKYtOqJ6ajQEALp3srEJoWN9yYeD3RAiBiydCODJXIyG0mMCF46G216+2qnrt6VyMK+eJiKh3zMey+MKDZyxdNGFULGOsFcvuQ7nWYjBrh0o/NRPHxRMhuAwcGDYy3OfFSipf8/fku0/O4uUf+zEOz8Xx92++Ep/79ecAwIZDuVyxhDORtCUV2sDaljF9ochkk411TAgREdngqdkY/vy7h/Hntx22+1I2iKbzhk6n9KGHdg2Vbq1/XasQsqiH/dBMHDuG/IbmADQypG3IMNrDfvFkCE/PxzcEL8cWkpadTgFqQNJKuTIREZFV/vPRaXzgW0/h24/P2n0pG8TSxiqE9Lb9zRGDWbfpVUqJQ7MxXLq9swM5QD2UK5QkElXzJ1O5In7/a0/gd7/0GPaO9uH29z4fb7h6CkGvCzuHAjiyLiF0ajmFkiJxoUUxmN7GF8sUEMvoC0WYECIi6jkzq2qP8TcencFjNWa+2Clq8HRKCIEBv9ve0ynD/evWVggdmo11PMwQUMuVAXUmkREXTYSRyBYxW7VmNJrOYymRw/5xexJCc7EMtg0wIURERL1hWovBPvq9py1dNtGMlNJwDKYnjeyo0i6UFKTzJUMzHAH1UE5KIFvo/ryj6dUM4tmiyTGY+ho/cS6KV338J/j6o9N4z0suxNd++3lrBkVfPKEeylU7vqAu9bCjQmg2qsaC29gyRkTUe2a0FZSDATf+9L8OQzGwRcoq0bTxUx917elm6F9XE0cZC0qW49kCTkfSuLTDDWNA5QTQSMsYAFwyoQYcR6sCkuPahrF9Y9YEI0AlIZQrlrCczGMizJYxIiLqDTPRDAYCbizEc/jEPSfsvpyyZK6IkiINDpXWK4SsP5TTZwS2MkMIsOZQ7qkZrWXfhBhMr9JeTubwL/c8g1/6l/uRLyr4ym89F7/3sos2zLC8eDKM08spZAuVWPP4QgIOAewZ6f6WVwDwu51wOwVimQLm4+q/NVghRETUg2aiGQQ9Tvzxqw7giXNRfOOxGbsvqSyeKZTnAzUzGPBgNdX7/etBCyuEni4PlO78dMrtdGAg4DbcMrZfSwg9XTVHSD+d2mdhhVDY50I8W8BiXK1s4oYxIiLqFbPRDJ67ZxhvuHo7Pv2TUzgbSdt9SQAqm6GMtJvb2TJW2fJqfMsYYM2h3KHZOJwOgYsmOj8EGwmqiz3e9+XH8Fd3HMHNl07ge+97Aa67YLjm/S+ZCEGRlbgLUA/ldg8H4XN3f8MYoFbv9/vdiGcLhre8MiFERGSDmdUMtg/68Yart+OqHQP4qzuOINkjZcvRTAEDLVQI2dm/brRc2a+vnTd5hlAmX9pQIfWUnhAy4XQKUEuWjVYIhX1uTA361/SwH1tIIOBxYpuFg537/W7E0lXBCFvGiIioB0gpyzHY//fyi+FyCHzk9t6Y5xjVqn2MxGB+j7rRM2pHhVBWjVdbmSEEmH8ot5LKI1dcG9c9NRvDvrE+UxIwIyFteUqmgL9+4xX4p1+5umGyTk9CVbeNHVtIWDY/SBf2qVXa87EsnA6BsRATQkREPWc2lsG2AT8cDoE/fe2lWErk8I8/PG73ZUFRJKLpfAstY57ySZGVSopEIltsqX8dMD8Y+fBth/Hqf7wP+WKlL/7QbAxjIW/TN2CjfvW6XXjpJWOG73/xRBhH5irByIlFdaC0o8nWODP1+91I5IqYiaqnrqwQIiKiXhBNF5AplLBtwI+Jfh/e/eIL8f1DC/jpiWW7L61SIdTjbfvlCqFWN72afCj3+n/+Kd7/zafW3HZoNo5LTZgfBACT/X587M1X4bb3Ph9vunZH002tu4aD8Lkd5W2v+aKC0xZuGNOF/W7EtRlCYyFv063BhhNCQginEOIxIcR3tY+HhBB3CSGOa38OVt33j4QQJ4QQR4UQN7f93RARbVEzqxls14a8XbVjAC+/dALfeNT+trFkvghFwtCGC0CdgWRHhVCyxdMpp0PA53aYvvb07Eoa06sZfPvxys/u0EzctOogAHjnDXvwhqunDN//4okQTi6nyqdm6umU9cGIlOp2MwCY4Nr5tjH+IiIyjz7DUY/BfuOGPRgOevCfj07beVkAqiqEWmnb3xQzhLRNryYeyimKxPRqGt98bAbTq+rh02I8i6VEztQY7PVXbzc8/8fpELhoPIQjWoWQvmHMypZ9oDLHcT6eMbTltZUKofcBeLrq4z8EcLeUch+Au7WPIYQ4AOAtAC4F8HIAnxBCWNM0R0S0CaTzRaymC2um/u8f70MkmUPJ5uHSsXRrb/KDQQ+yBcWSvvBqldMpY/3rgPo9rRpsvWr1Ov71xyehKBLZQgknlpK4zIT5Qe26eDKEkiJxYjGJWLqARYs3jAEoV24dm08g5HOhz2v850QbMP4iIjLJ+oSQz+3EzuEAlhLGtnl2kx5TGD+U85ge1xhRmSFk7Dr1mNLM5FUiqx5glhSJz/zkFAC1OgiAvTHYRBhH5hOQUuL4olopZOVSD0B9veMZtW3fyLgAQwkhIcQUgFcB+EzVza8DcKv291sBvL7q9q9IKXNSylMATgB4jrHLJyLa+ma1YGRqsPIf6dGQF4oEIil7A5JKMGLsdGpYX8lp8XXHs60lrgBgIuzDgskB36rWXndiMYm7jyziyHwCJUWaVq7cjosn1JOxI3OJSjBiw+kUAByZT7BdrAOMv4iIzDWjrZzfXh2D9Xl7IiEUzajJHaOxzVCfx/DSCTO1GoONh9U4YDGeNe0a9Or0fr8b//HQOaym8uUNYwdMrBBq1cWTIayk8lhK5nBsIQmHAC4YtWbDmC7sdyGWKWAumjW1QuhjAP4AgFJ127iUcg4AtD/1AQfbAZyrut+0dhsREQGYiapviNUVQqMhdZOB3QFJtMUKoSFtA4PVAUmrp1MAMBb2YSFmXjACqK/Xa6/chu0Dfnzy3mdwaNa8daft2j0cgNflwJH5uC0r54HK789MNMN2sc58DIy/iIhMMxvNwOd2YLCqCmc01BsJoVi6AK/LYXgg8nALSyfMFMsU4HE64HUZSyWEfS743A7MmxiDRbU48L+/aC8yhRJufeA0Ds3GsWckaGtVsj5Y+shcAicWE9pcIWuLdfv9bqxqs7KMHMo1/SkKIV4NYFFK+YjBa6g1tWhDD4QQ4l1CiIeFEA8vLS0ZfGgios2vfDrViwkh7XTKaLnyUFC9n9UBSauDFwG9Qsi8YKRYUpDIFjHS58VvPX8PHjmzii8+eBb9fvea6i+ruZwO7Bvvw5H5BI4tJOB3O9f8rlmh+ueyjRVCbelW/KU9NmMwIjovzUTVGY7VA4JHQ16spPMolJQGX9l90XTBcPwFqC1jsUzB8uuOZ9Qtr82GLOuEEKZXaesVQs/eM4SXXjKGW+8/jcfPRW09kAOqqrTn4zi2kLR8wxiwNgabNKll7BcAvFYIcRrAVwC8RAjxRQALQohJAND+XNTuPw1gR9XXTwGYXf+gUspPSSmvlVJeOzo6auAyiIi2htloRlsD6S3fNtqn/qPZ9oRQCytPgaoKoaS1CaFWBxoCwHjYi2i6gGzBnHlH0ape/zc9ewcGA248PacOlDYaJHWL3sN+YjGJfePWbhgD1v5cjJQrU01dib8AxmBEdP6ajWbWVGgDakJISuurndeLZvIY8Btr2QeA4T71vlYv94hniuj3t1aFMxb2YcHEljF9u9qA343ffuFerKYLmI9nbW3ZB4ChoAfjYS8OzsRxejll+QxHoPUYrGlCSEr5R1LKKSnlbqjDCn8opfxVAN8BcIt2t1sAfFv7+3cAvEUI4RVC7AGwD8DPW/geiIi2tJloBhNhH1zOyn+CR0Lqm/pSsjdmCBltxRoK2hOMtNsyBgCLcXNe48o2EDcCHhduuX43AHuHGeounghhKZHDY2ejtpxOhdecTjEh1A7GX0RE5puJZjZU8Y729UaVdixTQH8LFUJ6DGZH234r8RegzhEyNyGkxmCDAQ+u3T2Ea3epCzcv225vhRCgHsr96Mgiioq0vGUfAMK+1mKwVraMrfeXAG4SQhwHcJP2MaSUhwB8FcBhAHcAeLeU0tr1M0REPUwvV64W8KibmHohGPG5jfevh30uuJ3C8paxeLYAp0Mg6DHelz2hJYTMahsrn05pA7hved5uXDHVj5deMm7K43fikkk1IErmitg/bn0wEvQ44dSqkoyUK1NLGH8REbUhWyhhOZnfsHmpZ9r204WWKp/tSgjFs61dJwBMhL1YiGchpTnbdFfTBQhROYD63zdfhMu2h3HVjgFTHr8TF0+GkMwVAVi/1AOoVAg5BNZ0I9TTUq2XlPIeAPdof48AuLHO/T4C4COtPDYR0fliZjWD5+wZ2nB7Lww1jKZbK1cWQmAw4LG8ZSyWKSDsc7XUmqVvuTBrqGHldEp94x0MevCd373BlMfulD7UEAD22VAhJIRAv9+NlVSeFUImYPxFRNQ5fcvr9vUVQj2SEIplCri8hUTLsI2LPXYPt7Y5azzsQ7agqO1mLVRB1b2GdB5hn7t8+PTcC4bx3fc8v+PHNcPFWgzmEMDeUfuqtMdCa7sR6umkQoiIiFpULCmYj2drDvnthbWnrQ40BNQTKssrhDLFNk6ntAohk0qW9Ta5wYDxBJpVRvq8GNFK4O2oEAIqJ1ScIURERL1gRksIrZ8hpL9f2t2232oMZluFUKb1CqFxk6u0V9OFNZvieok+WHrnUMDyDWNA6/EXE0JERBZaTORQUuSGYATQKoR6YIZQq2/yw30erKSsve52+tfDfhe8LodpCaHyprMeDUgumQzZsmFMF/a5EPK6EPL15utDRETnl3KF0Lr3RZ/bibDP3rb9XLGETKFUbkM3Qk+IRCys0pZSIp4tItziUGnTq7QzBfT34IEcoFYFuRwCF9owPwioVAgZrdBu7SdJREQdmalTrgyoCaEfH7c/IbRzKNDS1wwFvTi4Gu3OBdXRTv+6EAIT/T4smDRUejWdh9MhEPL25lvpLc/bjV+4cMTyDWO6waAHkyZtdCMiIurUzGoGDlG7csLutv12lmW4nA4MBNyWVgil8iWUFGl7lXY0nS9XSPUaj8uB/3nTfly6zZ4B1yGvCy6HqHn4XEtvRrFERFtU5XSqdjCSyBaRLZRsKTEF1HLlK6ZabBkLuC1vGYtlChuGQhoxHvJh3rSWsQIG/G7bV8zX89ID43gp7Btw/Qc3X4xMoWjb8xMREVWbiWYxHvbBXWOuiu0JIX1zaYuJlqGAx9KEUDlx1WL171hYbcszs23/gpHW5hhZ6d0vvtC253Y4BD75q9fggMGEFFvGiIgsNL1au38d6I21p9FMvqVyZUCtEEpkiyiUlC5d1UbxTLHlljEAGO/3YdGslrE25i2dTw5sC+OaXRuHpxMREdlhJpquWzUxGvLZ2rYf1RIt7c1xtO6643q7fIsxmM/txEDAbVqVtjpvqTcrhHrBSw+MG64QYkKIiMhCs9EMBgNuBDwbCzTLWy5sCkiyhRKyBaXlN/mhPvUNedWiEyopJeKZQsv96wAwHvJiIZ4zZe3pajrfkwOliYiIaKPZaLZ+QsjmxR6VCqFWD+VsqhBq51Au5DOlQqhYUpDIFhmDmYQJISIiC81EMzXnBwH2rz2Nt3k6Naz1cFvVNpYrKsiXWk9cAercgEyhhHi281amdjayERERkfUURWIulqm7aGE05EUyV0Q6b0+rc7sVQupij0I3LqmmdiuEALVK24yEUKzN14pqY0KIiMhCs9FM3dk3ekJo0aaEULTNN3mr1562278OAGPaUEMz2sai6dbb64iIiMh6S8kcCiVZc4YjYP+hXDStxlCtVt4MBT1YTeehKJ1XPhvRSQymV2l3ajXNhJCZmBAiIrKIlBIzq/UrhIaCHghhZzDSXrmy1RVCHZ1OaQGfGYOl9aHSRERE1Nv0GY69WqUdyxTgEGh5c+lQ0IuSIhHPWlMlpFdYtxWDhdU5TaUOk1d68oyHcuZgQoiIyCLxTBGpfKluubLb6cBQwGNrMAK0N9AQAFYsmn3USf+6vmq20xOqbKGETKGEwR5deUpEREQV+pbXRjOEAHsTQv1+NxyO1jaXWn0op8dgfb425jj2+1BSJCIdxov6AeYgK4RMwYQQEZFFpqNpAKibEALsXXuqn7i0euozEFArm6xqGdNPwdo9nQI6X3sa66BKiYiIiKw1oyWEGs0QAuxb7NHu1qxBi9v245kCQj4XnC0mrgDzqrRX9QqhFivaqTYmhIiILDIbVd8AG62BHA15bQtGykmOFk9cnA6BAb8bK2mrZwi1fjrlczvR73d3nBCqnE4xGCEiIup1s9EMQj4XQnVm3wwFPXDY2bafKbRV+VyuEEpalxBqZ34QYF6VdrmiPchDOTMwIUREZJGZVa1CqE7/OqCWLC/bOEPI6RAt968D1q491VeztludMx72Yj5mzukUy5WJiIh638xq/Q1jgHq4NWzj6vlYOt/WXEI7Fnu0H3+pCSEzKoTajVdpIyaEiIgsMhvLwutylE9zatFbxqS0ZltENf1NXojWy4CHg17rTqe0gYbtnKQBakCy0GHAp1cItVpNRURERNabiTZOCAHqoZydM4Ta2ZpVSQhZc93xbAFhf3uJmJE+Lxyi802vUW2pRzvxKm3EhBARkUX006lGb2CjIS/yJQXxTNHCK1NFM+1vzbK0QihTQMDjhNvZ3lvYeNiHhQ4rhKLlCiG2jBEREfW6mWj9La86O9v2243BfG4ngh4nVlLWbBnrpELI6RAYDXVepa3OW+KBnFmYECIisshiIouxsLfhfSpDDTtfi96qaDrfdtXNUJ91CaF4B8EIAEyYsPZ0Nd3eRjYiIiKyVrZQQiJbLLcs1WPXYg9FkR0lWtQYzKIKoUyx4xis0yrt1XSeK+dNxIQQEZFFIqk8hoPGEkKLNgQk7ZYrA+pQw9V0HkoHSRajYh0MNATUGUIlRSLSQfAUzeThcTngdzvbfgwiIiLqPn0l+1CDln1AjcGWkzlLYplqiWwRUgL9bSY5hoJeS9fOdxKDjYV9prSMcYajeZgQIiKyyEoq3zQYGdMrhGxICOk92e0YDHigSLXkudvi2c4qhMqr52MdJIRSajDC/nUiIqLetpI0mBDq86JQkuUtVlaJZvQ16m1WCAXcllRp54sKMoVSxxVCnQ6VjrJCyFRMCBERWaBQUhBNFzDc1ywYUZMVdiSE1Aqh9t5g9e/LioAklim2PdAQqEoIdRCQRDN5DPgZjBAREfW6Za0ieKRZDFZu27c2BiuvUW+z6mUo6LUk/opn1etsd7wAoFZpR9MFZAulth+jk5mXtBETQkREFtDXlDfaMAYAYb8LHqfD8mCkpEhtc0T7Q6UBaxJC8Uz71wmYs/Z0lQMNiYiINoVKhZDBOY4WH8qVN5e2GdsM93kQSeW7vqE2nunsOgG1ZQwAFuPtvca5YgnpfAmDTeJpMo4JISIiC6ykjAUjQghbhhomsgVI2UG5soVrT+Md9q+P9Hk6XnuqliszIURERNTrVlqYIQTYkBDquELIg3xRQSrfftWNEXolUydV2hN6lXaivRis0+QZbcSEEBFtKfmi0lEZarcY7V8HgBEbEkLRDrdm6cOyuz3UsKRIJHKdbbhwOR0Y6fN2VCGkDjTk6RQREZEumStaPpDZiEgqD7dTIOxrnMiwKyEU06rI+9tsRS8fyiW7G4PFs0UAnSVjylXaba6e1+NVxmDmYUKIiLaU3/vaE/itzz9s92VssKwlSprNEALUoYaWByMdnk4NBtWv63YwkjChfx0AJvp9WGizXFlKiWi6gH5WCBEREQFQD2xe+Nc/wmfvO2X3pWwQSeYwFPQ0XQQR8rrgdVnfth/rsBVLH0fQyfZUI8oVQh1UaU90OMdRH8HAKm3zMCFERFvK8YUE7n8mYvmGiGZWtOCi2QwhoLL21ErRDoMRr8uJkNdlSoVQtlDC337/aM2f4ZlIGkDlFK9dYyFf28FIplBCvqTwdIqIiEgTSeUQSeVxx6F5uy9lA3XLa/O4wa62/Wi6gIDHCY+rvX+a6xVCerKkEycWk/j0j0/WnEd0NpICAIz0tR+Dhf1q0q3dGKzTinbaiAkhItpSFhM5lBSJB56J2H0pa6yk8hAChrZ4jYa8iKTyKJYUC65MFe2wXBkAhvo8pgyVfuTMKv7pRyfw1YfObfjcD55egEMAN1w40tFzTPR7DQcjiiJRqiqBXy2XKzMYISIiAipDgh8/F+25Q7lIKm/oQA6APQmhDrdmldv2TajS/toj5/CR25/G0YXEhs/d9fQirpzq72igsxCipSrtYklZk5zS41UeypmHCSEi2jIKJaWckPjJ8SWbr2atSCqPwYAHTkfjcmVADUaktGZjl67TljFAfXM243RK7yu/7eDchs/ddXgB1+4eMjSLqZHxkA+rBteevucrj+F3vvhI+WMzkmdERERbid5m1auHckbjhjGbKoT6O0hwlNv2TYgbF7QY7PYn18ZgC/EsnjgXxU0Hxjt+jvGQz9Acx1yxhOd+9If44s/Olm/rdAA3bcSEEBFtGfrJiBDAT44v23w1a0WSxoORUa0Ud9HCgCRmwtaG4aDHlNMpPUh4/FwUM9FM+fazkTSOzCfwMjOCEa2HvVnQJ6XEfceXcc+xpXLyKMoKISIiojX091M1BuuxQ7lkztAMR0CrELK4bT/eYYVQn9cFj9NhSkJIj8FuOzi3pjLnrsMLAICXXTrR8XOMhb2GNr0enU9gOZnDnVVtiKvpPDwuB/xuZ8fXQSomhIhoy9CDkRsuHMHZlTTOaL3OvWClxXJlAKYHJFLKmj3hgHri0ud1we1s/21hKGhOy9h8LAu3U62k+l5VldCdh9WA4GUHOg9GRsPGkm7nVjKIZQrIFxU8emYVQPVAQ1YIERERAWtjsPtO9M6hXLZQQipfMh6D9fmwksqjYHLbfr34CwCimXxHFS9CCAwFPabMcVyI5+B2CjyzlMKxhWT59rsOL2DXcAD7xvo6fo6xkM9QFdaT0zEAwEOnV5AraodyKTV51mxAOBnHhBARbRmLCfW04ZeeNQWgt6qEIinjp1NjXVp7+p4vP4bf+eKjNYOSaLrQUXUQUJkh1CjoMWI+nsWekSAu3RZe0zZ21+EFXDwRws7hQEePD1SqsJq9xk/ORMt//+kz6u8TK4SIiIjWWkrkEPK5cNOBcZyJ9M6hnH5QZWSoNFA5lDOj4lmXLZRw3V/cjS88eKbm502JwUw4lJNSYj6WxSsvn4RDVFr3k7kiHngmgpsuGTclETMa8iKVLyGVKza830EtIZQtKHjsbBSAmjzj/CBzMSFERFuG/o/7a3cPYmrQ31Mly630r48YTFa06qmZGO44NI8fHllcc3u2UMJjZ1cxFu5sc9dw0IN8SUGyyRt8MwvxLMbDPrzy8kk8djaK2WgGq6k8Hjq9YkrvOlCVdGtShXVwOgaP04HLt/fjfm0mQnmGEBNCREREANSYZTTkxfP3jQLonUO5SkKoxSptE2OwpUQOi4kc/vp7RzY87rEFtS1qTGtlb9dwX+cVQvFsEZlCCZdt68dz9gzhdi0hdO/RJeRLimkxmP4aN9uo++RMDFftGIBDoByDraYLjL9MxoQQEW0Z+pusGpCM4P4TEUs3ddVTLClYTRcMn075PeoKd7MTQvpp159/9zDyxcrr8g93H8fJ5RT+x0v3d/T4+vfX6QnVfCyLibAPr7p8EgBw+8E53H1kEYqEacHIcJ8XDgEsNelhPzgTw8WTIbxw/yienI4hkS2U18N6XexfJyIiArSEUJ8Xu4cDPXUopycdRlqYIQQAS8n21qI3uoZEroj/e+fR8u3FkoLf/9oTGAh48I7n7eroOdQKoc7iRn376ni/GoOdWEzi2EICdx6ex1DQg2t2DXb0+Dr9UK5R2362UMLxhQR+4cJhXL69Hw9oVdqxdIEV2iZjQoiItozFRA4DATe8Lieev28UiVwRT0xH7b6s8ppyo8EIYP5Qw1yxhESuiOfsGcLpSBr/9tNTAIAnzkXxr/c+gzdfuwMv3D/a0XPo/fmdnFAVSwqWkzlM9PuweySIA5Nh3H5wDncdnsdE2IfLt/d3dI06p0NgKNj4NVYUiYMzMVy+vR/X7x1GSZF46PQKVtMFlisTERFVWUxkMRb2QQiB5+8b7ZlDuV6oENIP5J6zZwj/8fC5civUp39yCk9Mx/Bnr7u0XB3erqGgB6upQkePMadtGJsI+3DzZRMQAvj24zP40ZFFvOTiMbg6mDNZzchr/PRcHEVF4vLtA3je3hE8djaKdL6I1TRbxszGhBARbRn66RQAXL93GA4B/PiY/SXLrQYjADAS8mIpbl4wol/DG67ejhsvHsM//vAEplfT+N9fewLjYR/e/+pLOn6OQe37W+0gIbSUzEGRlS1gr7piEo+ejeJHR5dw0wFzetd1o01Wy55ZSSORLeKKqX48a9cgPC4H7j8RQTSd77jXn4iIaCupjsFesG+kZw7l9Phn2GCVtn54t9iFGOxPX3MphoMefOi/DuH4QgJ/f9cxvOKyiXJFdCeGAh4kc8Xy8OV2LFQlhMZCPjxn9xA+e98pxLNF0yq0AWMJoYMzatLsiin1UK6oSPz81Io6b4kVQqZiQoiItoylZK78JjMQ8OCKqYGeKFmOaCW8rSSEzK4Q0k+nhoIe/PGrDyBXLOH1//xTHF9M4i9+8XKEfZ2/uZpRITRfFYwAwCu1IClfVPCyS80LRgC1ZLlRMPKkFshetr0fPrcT1+wcxP3PRBDNFDAYZDBCREQEAKlcEal8qRyDXb93pGcO5SKpPFwOgbDfZej+XpcT/X63qTHYshYH7h4J4PdvvggPn1nFWz/9IIJeJ/7sdZeZctg1pCWyOmnb11fO6zMlX3XFJLIFBT63Ay/Y11kVebWhgAdOh2gSg8UwHPRgst+Ha3cPwu0U+OGRReRLCiuETMaEEBFtGfpAQ90L9o3g8XNRxDKdldB2Sk/GGD2dAtQtWKaWK2sBwkifB3tGgnjnDXuwnMzjTddO4cUXjZnyHHrCq5NgRO9fn+hXE0J7RoK4ZDKMkNeF6/YMd36RVUZD3ob960/NxOBxObB/PARArTo7PBfHmUgKA34GI0REREBlRo4eg/UH3LhyR48cyiVzGAp6Wkq6NKsgbtVKMg+/24mAx4U3XrMDl20PYzmZx4ded9mauLUT5UO5DrajzcezGAy44XOrMxJfrrWN3XDhKPwe8+YmOhwCI32e8nbgWp6aieHyqX4IIRDwuHD1zkF876l5AMAAq7RNxYQQEW0JUkq1f73qjfUXLhyBIoGHTq3YeGXttYyNhrxI5opI5zvb2KWLaMGanpR634378KHXXooPvPqAKY8PAAGPEz63o/xc7dArhMartm18+PWX4e/ffBU8LnPfskZDXiwnc1AUWfPzT07HcGAyDLfWM3/9hWpCajmZxwDLlYmIiABUhgNXx2A3XKgeypkVx7SrlS2vum4cyg1rFTxOh8A//8qz8NdvvAKvuaLzVjHdsNau10mV9kIsuyb+Ggv58Pdvugp/8PKLOr6+9Rol3TL5Eo4tJHBF1dzI6/cOl+8/wAohUzEhRERbQjJXRLagrDlpuWhCrew4HUnZdVkA1DdnIdDSVoTySs5EZxu7ytegt4xpAUnA48It1+9GyIRWMZ0QAhNhH+Y76Lufj+fgdorySRcAXLNrEC81sXddN9rnRaEka1aQKYrEUzMxXDFVCUaumBpAQDshY7kyERGRqnrLq27/eAiKBM6tZOy6LABrkzFGmd22v5zMrYlrdg0H8aZrd5g6F1FvtdfnALVjPp4tV2jrXn/19nKltJlG++q/xofnYlAkcPnUQPm26/eOlP/OLWPmYkKIiLaEWsFIv9+NkM+Fcytpuy4LALCSymHA725pO4PZa08jqTw8TgdCXmM99O2a6PdhPtZ+8LcQz2Is5IPDYV6QVI/eI1+rbezkcgqpfAmXVZ1OuZ0OPGfPEACwQoiIiEhTKwbbORQAAJy1PQbLY6iFln2gCy1jqXy5gqdb9JhmroOE0EI8W04sddtYyFd3cPeT2ha26s2yV+0YgM+txtGsEDIXE0JEtCUslcuVK29kQgjsHArgjM3BSCTZernymMlrT9vpoW/HZL8fs9EOTqdiWYyHuxs06fRtKLVe46eqtltUu36v2jbGYISIiEi1lMjB6RAYqnpv7JWEUCSZX1OdY8RoyIt0voRUzqy2/davoVVelxMjfR7MtXkoly8qWE7m17SMddNoyItIKo9Sjbb9gzMxjIa8a+JBj8uBZ+9WD+VYIWQuJoSIaEtYrHE6BagBie3BSCrf0kBpwNhKzpavocWS6XZM9vuwEM/WncvTzEKNcuVuaVSF9eR0DD63AxeO9q25/SUXj8HtFLhgNGjJNRIREfW6xUQWI32eNdW9AwE3Ql57q7RzxRKSuWLrCaEGB0atklIiksqVW/a7abLf33aFkD7g2coYrKRIrKY3jkY4OB3DFdv7Nxxi3nzpBAYDbh7KmYwJISLaEsrlyn0bE0LTK5m2ExRmWGkjGTMc9MIhzE4Idb/yZrLfh6IiyytW6/nR0UX8xuceQixdmd8jpVT718P+bl8mAGBMOwWr9RofnIniwGR4Q5vfhWMhPPHBl+FZOwctuUYiIqJet37LK6BWae+w+VCuvNSjjRlCAEyZI5TIFVEoSYy0eDDYDrVtv3FCSEqJT9xzAh/89lNrbl+/5bXb6lXCp3JFnFhKrmnZ173tup24/w9vNH3JyPmOryYRbQlLSXUY8frZLjuGAsiXFCw0WG3Zbe1suHA6BIaC5g01jKwbaNgtE/1qMmeuQdvYFx44jd/43EO4+8gi7juxXL49kSsinS9hot+alrGgxwm/27mhh72kSDw1E8cVVcMMqwU83Z3DREREtJksJXMbDuQA+6u09YUa7bSMAeYcypWvwaIq7UYtY7liCf/jPx7HX99xFLc+cGbNodx8TP1erZohpL/G6+c4HpqNQ8qNLfuAmmT0a8s9yDxMCBHRlrAYV4OR9eWl5R72iD0BiV4O204yxsyhhiup7vevA2owAtQealhSJD783cP4wLcP4UUXjcHjdOCJ6Wj58ws1Vs53kxCi5iaRk0tJZAqlNcMMiYiIqLbFeG7NDEfdzuEAzq2kbavS1lewt1ohbWZCaEWrmG71YLAdk/1+xLPFmrOPVlN5vP0zP8e3H5/Fyy+dAAA8ORMtf35erxCyOCG0/jU+OLNxoDR1FxNCRLQlLCU3lisD9g81XE3nIWV7gYBZCaF0Xq28saplDEDNTWN//K2D+Mx9p3DL83bh0++4Fge2hfH4uWj581YHI0Dt1/jQbBwAapYrExERUUVJkYik8jVjsB1DAeSKiqkr3FvRbjJmMOCB0yFMicGWtQqhEQtjsPWHctlCCb/0yfvx+HQUH3/r1firN14BAHiiKgZbiGfhcTks26JaLyF0aDaGsZC33NZP3ceEEBFtCbX61wFg24AfDgHbhhqutHk6BajzkEwtV7bgdGoo6IHH5dgQjEgp8V9PzOENV2/Hh153GZwOgat2DODgdAzFkgKgEsBY1b8OqD3s68uVjy4k4HYK7Bnh4GgiIqJGVtPqpqhePJRrN/5xOgSGgx5TYzArKoQmyodya2Oww3NxnFxK4S9/8XK89spt6Pe7ccFoEI+fi5XvMx9TV853exutLuBxoc/rKg+z1h1bSOCiiZAl10AqJoSIaEtQE0IbEwkelwOT/f5NF4wAKLczSdlZqXUlKdX9YEQIofWwr32DX0rkkMwVcdWOgfJtV+7oR6ZQwomlJADrW8aA2hVCx+YTuGCkj0MLiYiImtDfQ8caJYRsattfSeXhdAiEfa1XvdRqKW/vGqxrGdumzXGcXVelfXIpBQBrYrCrpgbw+LloOcZUl3pYW5WzPgYrKRLHF5K4aJwJISsx2iWiTa9YUhBJ1a4QAuwdahjRA4E2kjGjIS8KJYlYptD8zkauwYJgBFBbvtafTp1cVoOR6nXtV2pDm/WS5fl4FgMBN3xu6wYGjvZ5EcsUkCuWyrcdXUhgP0+niIiImtKrbGvFYNsH/BDC3gqhoaAHDkfrVS9mte0vJ/MIeV2WxDZjYfVnsD4GO7WchMuhbn3TXbljAMvJXPkAbyGexbiFFdrAxkr4sytp5IoKYzCLMSFERJveSkqd09M4IVR/60I3lVeetlkhBHQ+1NDK/nVA7WGvdzpV3Ya1eziIsM9VLllesOF0Sg+e9NcomStiejWDi8b7LL0OIiKizWipQULI43JgW7/ftrb9SAcLNUxr20/l2zoUbIfP7cRw0LOhSvvkUgo7hwJwOyv/9L9SqxZ6QqsSUlvGrIkTdaPhtVVYR+cTAMAKIYsxIUREm175dKpOwmPncADLyRzS+Y1bF7pNbxkbDLSREOozJyFkZcsYAEwO+LEQz67ZKnJqOQmvFhjqHA6BK3cMrKkQsrJdDKhae6oNtD6+oAYj+xmMEBERNdUoIQQAO4bsa9tfSeXaro4eDXmxnMx1vCFtJZWzZIajbnJg4+r5U8upDXMRL5kMwe0UeHw6qlVKK9bHYH1eLMUrMe4xLQbbx0M5SzEhRESbXrl/vc7Jhl4ie86GKqGVVB4DAfeaUxmjyhVCHfawR5I5+NwOBDyujh7HqMl+HwolWV73CqinU3tGghvKtq+cGsDRhQQy+RLmYznr+9f71OfTf4f0YIQDDYmIiJpbTGTR53XVjTHsbNtfSeU7SggVFYlop237ybwlW151E2H/mpYxRZE4tZxa07IPAF6XEwcmw3jiXLSy5dXqlrGQF4lcEZm82rZ/dCGBnUMBy+JVUjEhRESb3lKzCiEbt1xEOjydAjqvEFJLpq0MRvS1p5UEXK3TKUAtWS4pEo+fiyKSylnfv74u6XZ0Pgmf24Edg4FGX0ZERESov+VVt3MogMVErvyPfitFkvm22+XNjcEsrBBat9hjNpZBrqhgz8jGqpsrtW2vc1EtIWRTlfayFoMdm0+wQtsGTAgR0aan/2O+0QwhwKaEULL9QCDsc8HjcnQejCTzlrWLAcC2AbUtTA9ICiUFZ1fSG06nAHXTGADcdXgBUlofjAz3eSAEsBivVAjtHw+1NYCSiIjofLOUyNU9kAMqVdrTq9bGYLliCYlcsf1DORPa9hVFYiVlbQw2OeBDLFMoj0k4VWOph+6qHQNI5Uu478QyAGu3vAKVzXSLiSxyxRJOLadw0QTbxazGhBARbXpLiRzCvvobHAYDbvR5XbYMNeykXFkIYcpQw4jF/et6yfFcVK0QOreSRlGRNU+nxkI+bB/w487D89rXWjvQ0O10YCjgqVQILfB0ioiIyKilZA6jDYYR23Uot5pSW706rtJOZpvcs75YpoCSIi2t0p7UYzDtUE5f6nFBnSptAPj+ITUGs2uO41Iih1PLKRQVyRjMBkwIEdGmt5jINixXFkJdtWlHhZB6MtR+IDAa8nY8Q2jF4v714aAHHqcDc1pPun46VatlDFCrhKZX1eSR1cEIUFktu5LKYymR43YLIiIig5bijSuE7EoIRVJq7NT2ljETWsYiFi/1AIBJbXmHPkfo1HIKQY+zZpy8ZziIkM+F6dWMGru5rE0NVL/G5Q1jnOFoOSaEiGjTa9a/DgA7bdhyUVIkVtKd9Y7ryYp2SSmxbHH/uhACE/2+cjCin07trVGuDKiDpXVWt4wBlddYHyi9n8EIERFRU5m82pbVKAYbCnoQ9DitTwgl9WRMewdifV4XfO7O2vYjST0pZV+F0DNLSVww2gchNrbCOxyiHIPZcSA3HPTCIVCOwVwOgQtqVJNTdzEhRESbnpoQavxGtnMogHMr6Y7Xh7Yims5DyvbLlYHOE0LJXBH5omLp6RSgto3pQwpPLqcwGHBjIFD7GvSSZY/T0dFr1a71CaGLmRAiIiJqarnJDEegUqVtddv+ilad01HbfocxmB0VQnpiR2/br7fUQ6fPcrR6wxgAOB0Cw31eLCZyODqfxAWjQcurlIgJISLaAhYTufJgunp2DgWQKyodt1+1otNgBFCHGq6k8yiUlA6vwdrZPNv6fZiL68GIejpVz+Xb++EQwFjYW/MEq9v0gO/IfAL9fnfT3yUiIiJSW/YBGIrBrG8Z05IxHcZgncSNZlxDq3xuJ4aDHszFs8gWSpiJZmoOlNbZWSEEoDwr8xhnONqGCSEi2tRSuSLS+VLzlrFh9c3Q7ICkWFJweDYOKTdWHv3s1AqAxidnzYyGvJCykthp1XLS+tMpAJjo92MhloOiSJxcanw6FfS6sH88VN5OZrXRPi/yJQUPn17BReMhW5JSREREm41ePdO8bV9NCNWKlToRSxdwNrIxrpNS4uenInA7Bfr97rYfv+MKIS2ZNGhx9bPetn8mkoaU9Wc4AuqmMQDYPmBTQijkxZmVNM6upDnD0SZMCBHRplYORpr0iJeHGtYIHDpxx6F5vPLjP8GffucQilVVPHc/vYAPfucQnnvBEK7dNdT24+tBlr4WvVV6ImnE4gqhyX4f8tq6+cVEruHpFAD83Zuuwp+97lKLrm6tMe1U7NhCEvu57pSIiMgQwwmh4QCyBfOrtP/i9qfx0r+7F995YrZ8m5QSH7ntaXz/0ALe/eIL4XC0f8gzGlLbmdq1ksqj3++G22ntP7kn+32YjWZwajkJANjboEp7LOzDv/36s/G263ZZdXlrnz/kxYlF9To5w9EeTAgR0aamBxdjDVaeAsD2AT+EML9C6LS2QevWB87gXV94BKlcET87GcF///dHcWAyjE+/49qO+qFbXXv6N98/gtsPzpU/1k+nhiyuENKHGt7/TARA7XWn1Q5sC+PiiXDXr6uW6mQiT6eIiIiMWUrk4BDNhybv0A7lzJ4jdCqSQr6k4L1ffgz/9MPjkFLiE/c8g8/cdwq3PG8X3nfjvo4ef7TPh2i6gFyx1PS+8WwB7/3yY+XNqoA62NrqCm1A3TQ2H8/iGW2px+4mMdiLLxqzvIpJV51MZAxmD5fdF0BE1IkFbbV5s9Mpj8uBbf1+04ORmWgWw0EP/udN+/HB7xzCL/3L/ZhZzWBq0I/P/fqzEfK1X6oMVJIVRkqWf35qBf/8o2ewf7wPr7x8EoA9/etAZe3p/c8sAwD29PDWiOrfHfavExERGbMQz2G4zwtnkyqc6tXz13RQNb3ebDSDV14+AY/Tgb+98xjuPbaEh06v4vVXbcMHX3Npxy3g+mFjJJlv2tb+mR+fxHeemMVInxd/8poDANSh21ZXaANqy1g0XcDhuTjGQl70eXv3n/x6DOZzO8qJQ7IWK4SIaFNb0FqpjKwr39GF1fNzsQwmB3z41efuwmdvuRbnVtII+934wm9c1/aq02rlCqEmCSEpJf72zqMA1NanE4vqxqxIMq+tTnV2fC2t0LdVPPBMBEIAu4Z7902+urqMCSEiIiJjFhJZQ/FXuUo7kjHtuUuKxEI8i13DQfz9m6/C+27ch4dOr+LGi8fwN798ZUetYjqjh3IrqTw+e98pAMD3nporb7RdSeVt2Z6qV2k/+Eykacu+3ca0LcH7xkJNE4vUHUwIEdGmthDPwutyGBoauGPQ/C0Xs9EMtmnVMC+6aAx3/96L8N333GDagGSf24mwz9U0GLnvxDJ+fmoF737xXggB3PbkPAAgksrZEowMBz3wOB2IpPLYPuC3PCHVipDXBa/LgbGQ17aSaSIios1mPpY1tJ3K53ZiPOQzNQZbTuZQKElsG/BDCIH/edN+/OB/vQCffPs1ps3sMXoo96/3PoNMoYT//qK9mItl8di5KAC1StuuljH9+Xu5QhuovMY8kLMPE0JEtKktxNVgxEhZ8NRgAIuJnKFecKNmo9k1yZ+Jfp/pSYXRUOO1p2p10DFsH/DjvTfuw7N3DZXnCNnVv+5wCIz3q2/yjVbO9wIhBMbCXlzEYYZERESGLSZyGG8yw1E3NejHTNS8hNBMVK02qt6OdeFYyNQBzpU5jvVjsMV4Frc+cBqvv2o7fvtFe+FxOnD7wTmUFInVdN6UavFW6RVCALC35yuE1NfnIi71sA0TQkS0qamnU8aDEUBN4pghni0gmStiW5dXdTZbe3r304t44lwU773xQnhdTrzy8gkcXUjgxGJSPZ2yqeplMqy+3s0GSveCP3vdZfj9my+y+zKIiIg2hVyxhJVU3lCFEKDGYNOr5rWMzWmxnF4N0w36gVqjGOyff3QCxZLE+166D2GfG8/fN4LvHZxDJJWDlNbPcAQqbftA45XzvWDXcAB/9rpL8cvX7LD7Us5bTAgR0aamnk4ZC0a2awmh6VVzTqhmtdMps9rD6hkN+eoGI4qizg7aPRzALz5rCgDwissnIQRw+8E5RJK5pts/umVSS5T1ejACqBs2rpgasPsyiIiINoXFFmY4AmoMNhfLolhSTHl+K2Iwr8uJgYC7bgw2vZrGl35+Fr987Q7sGlZjnVdePonZWBY/OrIIALZUafvczvK4gF6PwYQQeMfzdrNl30ZMCBHRpiWlNNy/DlQqhGZMOqGyLCHU58ViIgcp5YbP/eDpBRyZT+B/vHR/uUx6POzDtbsGcduTc1ixqX8dqJxQ9fpAQyIiImqNvuV1zHCVdkAdBG1ga6oRM9EM+rwuhH3d3aClxmC1K8s/9eOTEBB4z0suLN/20gPjcDsFPv/AGQCw7VBuIuyDyyG4uYuaYkKIiDatRK6ITKFk+HRqIuyD0yFMK1me0cqVt3c5IbRtwId0voRYprDhc09Ox+B0CLzqisk1t7/y8kkcXUigqEhbhkoDlTWzF46xL5yIiGgrKW957W/tUG7apMHSs9EMtg0YmyHZickBf91RA0+ci+K6C4bWHAz2+914/r5RHJqNA7CnQghQY7ALRoOmzlSiranpb4gQwieE+LkQ4gkhxCEhxIe024eEEHcJIY5rfw5Wfc0fCSFOCCGOCiFu7uY3QETnr4VYa6dTLqcDk/0+01rG5qIZuBwCI10eGKif7tTaznF2JY3tA/4Nb/ivuKySIOr29dXzS8+awtd/+3ld7e8n2soYgxFRr5rXKoTGQ0YTQmosY9ah3Fwsa0l8sXPIX3c72tmVdPnwq9orL6/EYHbNcfzgaw/gX371GluemzYXIynDHICXSCmvBHAVgJcLIZ4L4A8B3C2l3Afgbu1jCCEOAHgLgEsBvBzAJ4QQvbtvmIiaOreSxts/+zPMx8wZxmyWhRb71wG1msesYGQ2msFEv1p11E07mySEagUjE/1q2xgA2yqEfG4nrt09ZMtzE20RjMGIznPfOziH3/vqEzXbxu20GM/C43JgIOA2dH9985WZMVi3W/YBNQaLZQqIpddWacezBaymCzVjsJu0tjEhgIGATYs9+v3Y2+NbXqk3NE0ISVVS+9Ct/U8CeB2AW7XbbwXweu3vrwPwFSllTkp5CsAJAM8x86KJyFoPnIzgJ8eX8fEfHrf7UtYon061kBCaGgyUV5V2av3K+W5pVCF0biVdtz9cbyNr5fUhot7BGIyIbn9qHv/56DS+f2je7ktZYz6ubnk12rLlczsxFvKasno+WyghksqvWTnfLXrC59y66vJzWkxWKyGkt42N9nm7fmhI1ClDTYVCCKcQ4nEAiwDuklL+DMC4lHIOALQ/x7S7bwdwrurLp7Xb1j/mu4QQDwshHl5aWurgWyCibtOHMH/1oXM4GzGn3coMC20lhPyYj2eRL3a+5WImmun6/CAA6PO6MBz0lIMPXTJXRCSVrxmMAMDbrtuFT739Guwf5wkR0WbFGIzo/DajJSL+753HUFJ6p0poIZ5tqUIbMG/1vFVLPYD6h3J6PFzvUO7Dr78Mn3w7W7ao9xlKCEkpS1LKqwBMAXiOEOKyBnevlQbd8F8vKeWnpJTXSimvHR0dNXSxRGSP6dUMwj4XnA6Bj919zO7LKVuMZxH2ueD3GO+I2D7oh5TAXKyzgKSkSCzEs+US6G7bMRSoG4zUSwh5XA687NKJrg9cJKLuYQxGdH6bXs1gPOzF8cUk/uuJWbsvp2wxnsNYiwmh7YMBUxJCc9oIAytmCNVNCOkVQsO1Y7BtA348a+dgzc8R9ZKWxo5LKaMA7oHal74ghJgEAO3PRe1u0wB2VH3ZFIDe+a8XEbVsJprG/vEQ3vG8XfjWYzM4sZiw+5IA6OXKrZ9OAZ33sC8lcigq0pLTKUBN+tQNRrhSlGjLYwxGdP7JFUtYTOTwlmfvxCWTYXzsB8dQKHVe4dwpKaUagxkcKK2bGvRjNprpuNJJb/23oko77HNjMOCuGYMNBNwI+4zNUCLqVUa2jI0KIQa0v/sBvBTAEQDfAXCLdrdbAHxb+/t3ALxFCOEVQuwBsA/Az02+biKy0Ew0g+2Dfvz2C/fC73bi73/QG7OEFuI5w+tOdTu0LRczHSaErAxGADXpMxvNrgkEG/WvE9HmxxiM6Pw2p607nxr04/du2o/TkTS+8ei0zVeltqyn8yVM9Le2xXRq0I+iIrGY6GxJyWw0AyGA8Rafv107hwIb2vbrLfUg2myMVAhNAviREOJJAA9B7V//LoC/BHCTEOI4gJu0jyGlPATgqwAOA7gDwLullKVuXDwRdV9JkZiLZrF9wI/hPi/eecMe3PbkHA7Pxu2+NCzEsxhr8XRqot8Hh0DHq+f1ljMrK4T0n4Xu7EoaYZ8L/QY3fBDRpsMYjOg8plczTw0GcOMlY7hyxwA+fvcJ5Ir2/t+6nRmOgHmr5+eiWYz2eeF1WbNEsVbbfqOlHkSbiZEtY09KKa+WUl4hpbxMSvln2u0RKeWNUsp92p8rVV/zESnlXinlRVLK73XzGyCi7lqIZ1FUZPlN/DeffwHCPhc+cc8JW69LUSQWE7mWT6fcTgcmwr6OgxF9oOGkBRsugNo97GdX0nV714lo82MMRnR+0zdyTQ36IYTA/37ZfsxEM/j2Y/Z2gi7EcwBaTwjpVdWdHsrNxjKYtOhADlAP5WZWMyhqVdolRWJ6NcMKIdoSWpohRETnn3JrlDZ7R1+l+dRMzM7LwnIqh5Ii21qpPjUYwHSHq+dno1mEvC7Lesf1xE91Qugcy5WJiIi2rJnVDBwC5fb4Gy4cQcjnwkGbY7D5WLsVQmosaUbbvhUr53U7hwIoKrI8zHoulkFRkYzBaEtgQoiIGtJPcapn5ewcVrdEFG0cbLjY5ukUoAYkZgQjVrWLAcBE2Ae3U5QTQvrpFMuViYiItqbp1Yz2/q/+k00IgV3DAZxZ6azCplMLCT0h1FqVts/txEift6MqbSklZqMZbLNgw5hOT/zoc4S41IO2EiaEiKihmXL/euWNd9e6kxI7tHs6Bajfy1ws09GmjrlYxrJ2MQBwOgSmBitDDRfiWeRLCoMRIiKiLWpaW+pRbddQEGcjKZuuSLUQyyLkcyHgcbX8tVOD/o4SQtF0AdmCYmnL2Pq2fS71oK2ECSEiamgmmsFInwc+d2Vwn96+dCZi3wlVu6dTgNr+pshKUqkds9GspRVCwNqhhjydIiIi2tpmVjMbtpn2QpX2QjzX1oEcoMZgncwQqmx5te5QbrLfB5dDrInBnA6ByRY33RL1IiaEiKih6RrByK7hIADgzIp9J1QLsSyEAEb7Wk8IdbrlIpMvYSWVt2zlvG7nkJ8JISIiovNAsaRgPp6tUSHUA1Xa8Swm2kwITQ36MRvNQlFkW1+vL/Ww8lDO5XRg+2B1DKbGxi4n/ylNmx9/i4mooZnVjeXKE2EfPE4HztpZIRTPYaTP29absd7+1soJVXV72Wx55by1J0M7hwKIZQqIpQs4t5KGQ1gbEBEREZE15uNZlKq2vOp6oUp7MZ7FWBsV2oB6KJcvKVhK5gzdX1HkmmooOxJCgBqDVc8Q4oEcbRVMCBFRXVJKzEQzG4IRp0Ngashve8tYu6dTk/1+CGG8Qujv7jqGZ3/kBzi1rFZEzUWz5cexUnmo4WoaZ1fS2DbgLw+aJCIioq1Dn+HYa1XaiiKxmMi1XyHUwur5fFHBWz79IN74yQfKB3NzsSw8LgeGg562nr9d1W3751bSXOpBWwb/JUFEdS0n88gVlZqtUbuG7N1yMR/LtjU/CAA8LgfGQ75yH3ojdx6ax8fvPo5ouoA/+PoTUBRZPp2yumWseqghT6eIiIi2rvKsnB6r0o6k8igqsu0ZQpUq7eYx2EduO4yfn1rB4+ei+MSPngGgbXnt90EI0dbzt2vnUACr6QLmYhmspPKMwWjLYEKIiOqqtXJet2tY3XIhZXs94J1aTLQ/0BDQt1w0DqZOL6fwe199AldM9eMjb7gMD51exa0PnMZMNAMh2ttw1onqhNA5JoSIiIi2rOk6FUJ2V2kvxNvf8gpUElzNEkLfemwGtz5wBr/1/D143VXb8I8/PI7Ds3F15bwN7fJ6zPXTE5E1HxNtdq3vCiSi84Z+OjU1tPGNd+dQAKl8CZFUHiNtDHbuRK6oDnXuNCH08JnVup/P5Ev47S8+AqdT4BNvexa2D/jxg8ML+Ks7juCqHQMYC3nhcVmbUw/73BgMuHFkLo7lZL48R4CIiIi2lpnVDEb6vGu2vOrsrNKuJITai/0CHheGg56GCaGj8wn80TcO4jm7h/AHL78YyWwRPz2xjN//+hNYSuTwgv2jbT13JyoJoWUAwC7GYLRFsEKIiOqq178OVN4I7TihWoyrgwjbDUYA9YRqLpatu7b1T779FI4uJPCxN1+FqcEAhBD46C9eAbfTgQdPrlg+P0i3cyiAnz7D0ykiIqKtbCa6camHzs4q7YVyDNb+oVyj1fOpXBG/88VH0Odz4Z9+5Wq4nQ4MBj348Osvx6HZOBYTOWyzYd27XqV9n5YQ4gwh2iqYECKiuqZXMwj7XAj53Bs+pyeEztow1LDTcmVA3XJRUiQWEhu3XGQLJXztkWm847m78KKLxsq3T/T78IFXHwBg/fwg3Y6hAJa0a2ZCiIiIaGuaXk2X5+2sV12lbbX5eBZCAKOh9g/lpgb9dec4PvBMBCeXU/joGy7HWFWc9/LLJvCaK7cBsGfDar/fjX6/G0uJXPnvRFsBE0JEVJd6OlU76aBWzdhTIWTG6VR5qGGNkuu5mJpwumJqYMPnfvmaKfy3F16AX7pme9vP3YnqJBATQkRERFuPusAiW97ItZ69VdpZDAe9HW05nRoMYGY1U7PCaTamJoqu2NG/4XMfeu2l+MWrt+OGfSNtP3cn9LiL8RdtJUwIEVFdM6uZuqdTPrcTE2GfLVsu5rUKoXZXngJqMALUHmo4p51aTQ5sfHwhBP7oFZfgJRePt/3cndCDkJDPxdMpIiKiLWg5mUO+pDRoGbOvSns+nsVEf2ezI6cG/cgVFSwlN1Zpz0azcDsFRoIbn2Mo6MHfaa38dmBCiLYiJoSIqCYpJaZX0w1bo3baNNRwMZ6Fx+XAQKD9hMik1n9eKyE0q1UIbbNpTlAj1cGI1StXiYiIqPvOabFJvUM5u6u0x0OdzfDRY8uah3KxDCb6fXA4ei/G0ecGcX4QbSVMCBH1iIdOr+Blf38vIjVOS+wQyxSQypfqBiOAekJlTzCSxXjY21FCxOd2YizkxUy0RsuYViE0YcPQwmb0zWI8nSIiIjLHJ+99Bu/6/MN2X0aZPl9n+0Dt93o7q7QX41mMdxgf6RU+MzWrtLO2Le5oZhdjMNqCmBAi6gHFkoI//uZTOLaQxKHZuN2XA6ByatOoQmjXcBDLyRxSuaIl1ySlxLmVNE4sJTs+nQLUk7d6FULDQU/NVa92m+z3I+hxYu9on92XQkREtOmdXk7h7+48hh88vYBCnc2jVitveW1wKGd1lXaxpOCpmRgiqXznFUKD9SuEZmMZW7aIGXHhmBp77R0N2nwlROZx2X0BRAT8+8/O4uhCAgBw1oYWrFqmy+XK9U9B9BOSsytpXDIZ7sp1FEoKvn9oHt96bAaPn4tiOalu1HjbdTs7fuztgwE8cS664fa5WKbm/KBe4HQIfPt3fwETPXp6RkREtJl8+LbDyGuJoNloBruG7f/H/vRqGgMBN/q89f+ptms4gB8eWerqdUTTefzHQ+dw99OLODgTQ6ZQAgBcNNHZoVSf14WBgHvD6nlFkViIZzFp0ybXZq7dNYhvvfsXcOXUxoHXRJsVE0JENltN5fF3dx3D9XuH8ciZVZzrkYRQuVy5ScsYoPawm50QWknl8eWfn8UXHjiD+XgW2wf8eOH+MVy1cwBX7xgw5fmmBv2446k5lBQJZ1Wv+lw0W27N6kUXjoXsvgQiIqJN795jS/jB04t4ycVj+OGRRZxdSfdEQmgmmmlYoQ3oVdrTSOWKCDZIHLXj+EIC/3b/aXzj0WlkCwou396PNz97B67eOYCrdwyaEiPVWj2/nMyhUJI9WyEkhMBVOwbsvgwiUzEhRGSzv7vrGJK5Ij74mkvx7i892jMVQjOrGfjdTgw2GNy8a0gNmrqx5eKtn3oQRxcSeP6+EfzFL16GF+0fM33A4NSgH4WSxGJibb/6bCyD514wZOpzERERUe8olBT8+XcPY/dwAB98zYFyQqgXzKxmsGekcWKqW1Xa51bSeNXH74MQwBuu3o5brt/dlSrwqYEATiwl19ymL/Xo1RlCRFsRE0JENnp6Lo5//9kZvP25u3DRRAg7Bv09E4xMr6YxNehvOLi5P+BGv99t+mDpZK6IowsJ/M+X7sf7XrrP1MeuVr16Xg8+krkiEtliz5YrExERUec+/8AZnFhM4jPvuBY7BgPwOB09EYOpW14zeP6+0Yb361aV9lMzMeRLCr7x36/Hs3YOmva4600N+nHPsUVIKcuxpr7Uo1fb9om2Ig6VJrLRR793BGG/G//zpv0A1NOes5E0pJQ2X5lWrtygXUy3azhgegB1JqJWHOnD+7qlsva0cv3lYKRHy5WJiIioM4lsAR/7wTG8YP8obrxErUCeGvL3RNv+arqATKHUNAbrVpW2Pqi66zHYoB/ZgoJIKl++Ta8Q2sYKISLLMCFEZJNMvoT7TyzjLc/eiYGABwCwYyiARK6IWKZg67VJKXF6OYVdBtZq7hwyf/W8vkZ1V5fn+ExpwVb12tNyMMIKISIioi3p4dOrSGSL+O0XXFCuTtk5ZP4BVztOLasJnmYxWLeqtM9E0hgMuBH21R8ZYIZaq+fnohn43A4MNBhXQETmYkKIyCZPTkdRVCSu3VUpx63uB7fTYiKHVL6EvQZOh3YNBzATzZi6qlU/ner2YGef24mRPu+ataezrBAiIiLa0h49uwqnQ+CqnQPl2/Qqbbud1ObqGI3BzI4Zz66ksNOCwdpTNVbPqyvnG48rICJzMSFEZJPHtHXnV1cHI8O9kRB6ZlELRkYNBCNDQZQUWU6kmMGq0ylADUim151OCQGMh5kQIiIi2ooeOxvFxRMhBDyVcao7hwKIZ4uIpe2t0n5mKQW3U2CHgbb9blRpn4mkDVWId2r74Ma2/dlolvODiCzGhBCRTR49s4pdwwEM93nLt+0Y7JGEkHY6dcFo8xOinVVDDc1i1ekUoAYk1WtPZ2NZjIW8cDv5n0ciIqKtpqRIPH4uuuZADlDb9oHeiMF2DQfhMhCHmF2lnS8qmI1mut6yDwBhnxthn2tNDDYXy3DDGJHF+C8eIhtIKfHo2eiG7Q1BrwsjfR7bhxo+s5RCwOPEhIEqmQu0tah6z7sZrDqdAtQKoZnVDBRFHeQ9F8twfhAREdEWdXwxgWSuuCEG65W2/ZNLSew1cCAHAHtG+lBSpGlx40w0A0VWXotumxoMlKu0CyUFi4kcYzAiizEhRGSD6dUMlpM5PGvd6RSgnlDZHYw8s5TE3tE+Qz3coyEvQl5XuaqoU1aeTgFqMJIvKVhK5gAAc9Est1sQERFtUY+djQLAhoRQL1QIFUoKzkTShlr2AZQTR88smXMop2953WVRlbbatq++3gvxLKQEtnGGI5GlmBAissGjZ1cBAFevC0aA3thycXIpZahdDACEELhgrM+0hJDlp1NVq+ellJiNZThQmoiIaIt69MwqhoKeDQdPfV4XhoMeW2OwsytpFBWJCwwmhPT7mRWD6d+7VYdy27U5jlJKzGlbXidZIURkKSaEiGzw2Nko/G4nLp4IbfjczqEAZqNZU7d2tSKTL2EmmjF8OgUAe0eCOLmJT6cAtWormi4gW1AYjBAREW1Rj55dxdU7BmpWQe8YCtjatq/HUkZbxvr9boz0ecubyTp1JpKGz+3AWMjb/M4mmBoMIJ0vIZoulJeTsEKIyFpMCBHZ4LGzq7hiqr/mwMAdQwGUFIm5aNaGKwNOLhvfMKbbO9aHuVgWyVyx4+e343QKUBNCszEGI0RERFtVLF3AM0spPGvXxgptwP4q7cpSjxZisNGgiS1jaewcCli29r36UI4VQkT2YEKIyGLZQgmHZuMNgxHAvh52Pagw2jIGVA2WNiEgsfp0KuBRS8SnVzPlJByDESIioq3nsXN6y/5Azc/vHFK3dhVtqtJ+ZjGJkT4v+v1uw1+z18S2/bMrKewcsqZCG6hOCKUxF80g5HOhz+uy7PmJiAkhIssdnImhqEhcvWOg5uftTgidXEpCCGDPiPGAYO+YepKlVxd1wurTKUDvYU9jjhVCREREW9ajZ6NwCODKqYGan9+pV2nH7KrSThluF9NdMBJENF3ASirf0XNLKXF2JW1ZhTYATA2oz6VWaXOpB5EdmBAisthj2kDpehVC42EfPE6HrRVCU4N++NxOw1+zazgAh1BPtjpl9ekUoK2ej6rBiNspMNJnTXUSERERWeexs6u4aCKMYJ0qFDs3jUkpcWIxWT5kM0q/f6dVQouJHLIFxdKEUNjvQsjrwkw0g7lYBpMDPJAjshoTQkQWe/RMFDuHAnWTDk6HwNSg37ahhs8sJluaHwQAXpcTO4YCeGa5s5YxO06nAHWo4cxqBrPRDMbDPjgc1lUnERERUfcpisTj56J4Vp12MQDYOWxfQmgllUcsU2g5BrtQu3+ng6XPRNTv2aotr4C6qbZcpR3NYpIVQkSWY0KIyEJSSnW7RYNgBFBPqOwIRhRF4tRyCheMtBaMAOoQ6k4rhOw4nQLUCqFcUcHBmRjLlYmIiLagE0tJJLJFXL2zdoU2AEyEfXA7hS0x2Mnl1mc4AsC2AT88LkfHg6Wt3vKqmxoM4JmlFCKpPFv2iWzAhBCRhWZjWSwmcnhWg2AEsG/LxVw8i0yhhL1jrQcDe0eDOLWcgqLItp/fjtMpANiuDZE+uZRiuTIREdEWVG7Zb3Aop1Zp2xOD6YdqF7ZYIeR0CFwwEuz4UO7sShoOUYmJrDI16McpLRnGpR5E1mNCiLY8KdtPUJjtkTN6MNI8IRTLFBBLF6y4rDI9mGi1XBlQV6TmigpmohnDX7P+Z2Pn6ZSO5cpERETm6LUYbCDgbro0Y8dQwJa2/WeWkvC6HNjWRlJk72hfucLIqI0xWLpcbWQlfdMYwKUeRHZgQoi2NCklXv/PP8U/3n3c7ksBANz99AIGAm5cPBlqeD+7hhrq/eetlisDlSSS0aGG6XwR1//lD/H/7jtVvs2u06nt1cEIK4SIiIg6djaSxrP+/C48fHrF7ktBSZH44ZElXL93uOkW051DfntaxpZS2DMShLONOYYXjAZxdiWNXLFk6P6Pnl3FFX96J56aiZVvO2PDDEdgbUKIFUJE1mNCiLa0B0+u4InpGH52yv5gJFso4e6nF3HzgQm4nY3/r2fX6vlnllII+VwYbWPLlr4m1WgP+12HFzAXy+JjPziGWEathLLrdKrP68JAwA2AFUJERERm+MpDZ7GaLpSro+300OkVLCdzeOXlk03vu3MogGi6UI5NrPLMUutLPXR7R/tQUiTORozFjV/+2VkkckX8zfePlm87G7F+yysAbB+ortLmoRyR1ZgQoi3tPx46CwA4Hels0J4ZfnxsCclcEa+8onkwsmNITUpYnxBSg5Fmp2e1DAU96Pe7DW+5+NZjMwj7XIhni/isViVk1+kUUDmhYjBCRETUmWJJwdcfmQYAnDaYpOim2w/Owed24CUXjzW9r34oZ2XbWK5YwtmVdPlwrVWVKu3m8W62UML3nprHQMCNe48t4aHTK4hnC1hNF2ytEBoKeuBzOy1/fqLzHRNCtGXFMgV876l5eJwOzEYzhstou+X2g3MYCLhx/d7hpvcN+dwYCnpsaBlLtdUuBqirQ/eOBg21jEWSOfz4+DJ+5bpdeMVlE/h/953CSipv2+kUAExpJ1Tt9O4TERFRxT1Hl7CYyMHjdJTnA9qlpEh876l5vPiiMQQ8rqb332FDQuhsJA1FqvMY23FBuUq7eQx299OLSOaK+Ns3XomRPi/+9vtHy5VFuyxe6gEAAwE3gh4nD+SIbMKEEG1Z33l8Brmigl997i4oEpheNT7suFXfOziHOw/NYzGRrfn5bKGEHzy9iJcdGG/aLqbbMRTA6RYHBHYimStiPp5tu1wZUAMZI6dT331yDiVF4vVXb8P/umk/Uvki/vbOo7adTgHAvvE+DAbcGNRax4iIiKg9//HwOYz0efGyS8fLG0S7IZMv4cs/P4sHnokglSvWvM/Dp1ewlDDWLgZUKoROWZjI0hM57cZgQa8LE2GfoYTQNx+bwXjYixdfPIbfffFe/OzUCr70c7WifqcNMZgQAheOhzqKP4mofc3T5ESb1H88fA4HJsN41RWT+H8/PYUzkVRX3mwiyRx+598fLX+8fcCPGy8Zw5+8+gBcWvLnJ8eX1XYxg8EIAFw03oe7n1409Vqfmonhv56YxR+8/OINQwtPaYmcTl6jvaN9+Poj04hnCwj76idWvvX4DC6eCOHiiTAA4PVXbceXfqYGI3acTgHAf3/RhXjLc3a21S5HREREqsVEFj88sojffP4e+N1O3HZwDtlCqSvtQHcenscffeMgAMAhgP3jIfza9bvxlufsLN/n9oNz8LqMtYsBapX2tn4fjs0nTL3W/3xkGoqU+OVrd2z4nH6Y1m6VNgDsHQviZJNDudVUHvccXcQ7b9gDp0PgrdftxKd+fLISg1m85VX36XdcA6+T7WJEdmCFEG1JT83E8NRMHG9+9g7s1k47Ti9354RKX7P+v1+2H3/8qktw2fYwPv/AGfzNnZVBfbcfnEO/341fuHDE8ONePBFGJJXHUiJn2rX+1xOz+Ncfn8TXHzm34XOPT0cBoO3+9eqvbRSQnF5O4bGzUbz+6u3l2953475ygsqO0ykA8Huclm83IyIi2mq+8egMSorEm67dgd3DQUgJTK92JwbTq7//9e3X4Hdfsg8elwN/9M2D+PGxJQCAUtUuFvQaPwe/aCKEIyYnhD5z3yn8n2/+/+3deVhb55U/8O8rCQQIiUUgdrPYLMZ43xPHie3YWZo0bpo6XZK20yXTNtNl2s5MOzNtZzptp2s67UzX6Tr9tWnSNGvjJnacxVm9BHBsYzDYmB3EJiQWCSS9vz+0AGaVdJEEfD/P4yf21ZXu5YaYk/Oe95yzaJym+vtMiwWZhriA7vFqK9MTcal7cMo4+YmePtsBp1vijg3ZAACtRo1P7isGABh1sUgM4fqhMOnjkMQKbaKIYEKIlqSHT7cgVqPCwQ05SNXFQq/VLNge9nZvQuiGUhM+cl0RfnbvFtyzYwV+9tJlPHOuEw6nC8/VdAW0XQwAyjI9o+lrO62K3avZm1z6zrN1sNrHp2f0DDrw/aMXsT43KeQtYwBmbSz9RHU7hADevj7bf6wgTYdDW3IRoxYRW50iIiKi0Egp8fCpFmwtSMHK9ET/NvCFXJRL1cXipjWZ+Oz+Ejx0306UZujx6T9WobV/GKeb+mG2OeY10GOisiwDLnUPYtTpVuxeu212jLkkvv50zaTjL13sxpGaLty5KWeGd85PUZoONrsTPYOjM57zeFUbSjISUZ5l8B+7a3MuCowJWGnili2i5YgJIVpy7GMuPF7VhpvXZCIpIQZCCOSnJSzYlIs2i6dv0MTqki/dVo71uUn4hz+dwe9eb4JtntPFJir1JYQ6lFuh6rLaka7XondoFD98rt5//CtPnMeg3YnvvGs9VKrgt0zlGxOgUYkZ97BLKfF4dRt2FBqnNG/+yu1r8Ngnro3Y6hQRERGF5tSVflzuGcIh77aoAu8iz0JNe223jCA7ebwZcXysGj+5ZzOcLon7f1+Jx6raoNWosG+e28V8yjL1GHNJXO6Z3+TUuYy53OgZHEWGQYvnLpjxkreCyWofwxf+/BZWmRLxKW+lTrB8CZ2ZYrCWPk+C7ODGnEnb42PUKjx43w58/+4NIV2fiBYnJoRoyXn2fCesdifu3jq+RzvfqFvQCqH4GDWSJ5S6ajVq/PiezdCoBb729AUY4jS4duX8t4sBgDFRC5NeiwsKVwhtyU/Boc15+M1rV9BgHsTTb3Xg6bMd+PSNxSjJ0If0+TFqFVYYE3DJPP2zfqt1AI09Qzi4MXvKa3ExalTkJIV0fSIiIoqch061IFGrwdu8i2DJCTEwxGkWrLF0h8WO7KTJC0yFaTp8513rcaZ1AA+ebMYNpekBb8Va7a2gUWpRrmfQU6H98etXosCYgK8+dR5jLjf+8/AFdFnt+M5d60LusTQ+en76hNAT1W0AJldo+2QlxXPbPNEyxYQQLTkPnWpBXmo8dhaNj3cvMCagtX8EYy7lSn99OgZGkJUcN6UZcU5yPH7w7o0QAri5IhOxmsD/cyvLMqBOwT3sZqsdJr0W/3BzKeJj1PiXx87iy0+cw9qcJPzt7iJFrrEyPRENMwQjh891IFatws0VgVVLERERUXSz2cdw+GwHbl+f5R/vLoRAQZpugSuEpiYybq7I9Mc1t62bmgCZS2GaDjFqoVgfIbPVkxDKSUnAl24rx6XuIXz6j1V48GQLPrq7CBtXpIR8jUxDHBJi1WgwzxCDne3E1oIU5KZEplcjEUUnJoRoSWnuHcZrl3pxaHPepK1P+UYdnG7p7/ejpDaLfcZVld0l6Xjy/l340m3lQX12WaYe9V2DcCqQyLKPuWC1O2EyxCEtUYtP31iME419sNmd+O671vsnooWqNEOPxp4hOJyuKa+db7OiLEuPpHg2DiQiIlpKnjrTgZExF+7eumLScU+VtvIVQlb7GGwO56QtYxP9481l+NPHduK2ALfsA56K51UmvWJ9HLusnvYCGQYt9paZsLskHYfPdmJlug5/f2OJItdQqQSKTYm42DU1ieVwunCxy4ZthamKXIuIlg4mhGhJefh0C1QCuGtL7qTj43vYlQ9I2i0jU8qVJ1qbmwT9LCPYZ1OWqceoyz3tRIpA+VanTHotAOD9Owuwr8yEL99e7u9XpITSTD1cbjntClVtp9XfLJuIiIiWjodONaM0Q4/1uZO3f3uqtIcVbdAMjA/1mK5CCADUKoGtBalTKrjna3WmXrEtY76hHia9p6L8324vx+b8FDxwaEPIW8UmKss04EKHbcqksUvmITjdEmWZhhneSUTLFRNCtGS43BKPvNmK3SXpyLoqQeMbPa90HyGH04Vum2PGYCRUvh/cFxQoWTbbPKtTJoNnJS1Wo8IvP7gV9+zID/mzJ1qdNX0z7G6bAz2DowxGiIiIlpjaTivOtA7g0Na8KQmYfKMObumZCKakDu9QjwWLwbL06LTaYRmeeWrXfJltDggBpCXGAvBMZf3zx6/B+rzkkD97orIsPfqGRtHt7Vnk46t08sVoREQ+TAjRknH8Yjc6rXbcvSVvymvpei0SYtWKjz3tGvD8wJ2pXDlUK006aFQCdQqULHd5K4QyDNqQP2s2BUYdYjUq1F1VsuwLRsoYjBARES0pD51qQYxa4B0bp45O9y3KKd1HyJdgWqhmyKXeBSwl+giZrXYYdVrFtufPxLfodnX/ydpOG2I1Kn/FPBGRDxNCtGQ8dKoFRl0s9q3OmPKaEGJBJo21zVGuHCqtRo2V6YmKlCz7K4T0C5O88tGoVSjJSMSFjslJLF9wwgohIiKipcPhdOGxqjYcKM9Eqi52yusFaZ4kRJMC298nareMQKMSSEtcmIWu1Zm+iufQF+XMNod/y/5CKsucvkq7ttOGYlPigiekiGjx4d8KtCT0DDrw3IUuvGNjzozTvAqMCYqvTs21f10JpZl6ZVanbA7EqAVSEha+oXNZpmHKPV/osMGk104bLBIREdHidLSmC5bhMRzaOrVCGwCMulgkajWK93Fst4wgMykOalVwPYLmku6NWZSJwewwLXCFNgCk6GKRYdDiwlWV5bUdVi7IEdG0mBCiJeHRylY43RJ3zxCMAJ497C19I3C55YznBMqXEMpKWriqm7IsPdosIxgYGQvpc8xWB9ITtUE3VwxEWabe2zNofA97bacVZVkMRoiIiJaSh061IDspDrtWpU37uqdKO0HxKu32AfuCLsgJIVCWqVemj6PVgYwFrtD2Kcs0TKoQ6h10wGxzsH8QEU2LCSFaEv50uhUbVySjOGPmH3YFxgSMutzoGFCuqWH7gB1pibGKToi42uoZ9oMHyrM6Fb5gBBi/Z6fLjXrzoL/8moiIiBa/NssIXmnowV1b8mat1ClYgNHz7ZaRBesf5FOaqcfFThvcISwmutwSPYOOsFQIAZ6FxAbzIMZcnqlu3LJPRLNhQogWPat9DPXmQewvn9o7aKJ8byM9JQOSdsvIlIlmSvM1YQ61sbTZGp7968D4PfvKrK/0DmHU6VZ0vD0RERFF1pkWC6QEDswZgyWgpX8YTpcyo+ddbonOAfuCVmgDnkW5kTEXmvuCjx17Bx1wS4QvBsvUY9TlxhVvzyZfLMYYjIimw4QQLXot3h/Sc01OKEhTfspFu2VkwSaM+WQa4pAUHxNyyXK49q8DQFqiFmmJWn8jxgsdXJ0iIiJaanyJkhXeSWIzKTDqMOaS6BiwK3LdnkEHnG65oFvGgIkLXMEvypltnu3z4a7S9sWNtZ1WpCXGIj1MCSkiWlyYEKJFz5cQWpE6ezCSoY+DVqNSrEJISulNCC1sMCKE8DSWDmHKhcPpQv/wWNj2rwOeFaraCcGIRiWw0sRxp0REREtFc98wUhJiYIibfWBFvsKj5xd65LxPsUkPlRhf2ApGl9U35TU8CZmV6YnQqIQ/bqzttHFBjohmxIQQLXq+1am8ORJCKpWnqeEVhcaeWkecGBp1LXgwAnhGn9aFsIe92786Fb7VobJMPS522eByS9R22LAyPRFazcL1WiIiIqLwaukbnnNBDhgfPa/UpLFwTHkFgPhYNQqMukVVIRSrUWGVKRG1nZ4YrK7T5h9HT0R0NSaEaNFr7htGUnwMkuLnHqeer2BTw/YB34SxhU8IlWUZMDTq8q+IBcofjISzQijLAIfTjSu9Q6jttHHvOhER0RLT3Dc854Ic4KmOiYtRoUmhRTn/lNcF3rYPeLaNhTLYw2z1xGDpieFblCv1LiRe6R2Cgz0ciWgWTAjRotfcNzKv1SnAM2msqW8opGkRPuOrUwsfjPh+kNcGGZCYfeXKYa4QAoBTjX1os4z49+ETERHR4ud0udHWP78YTAiBAqNOwQohO/RazZxb1ZRQmmFAU98wRkZdQb2/y2ZHqi4WsZrw/W9XWaYBbZYRnGrsAwCszuKWMSKaHhNCtOjNt1wZ8FQI2cfc6LSG3tSwPUz71wGgyFtq3dgzGNT7I1EhtMqUCLVK4PHqNgCeSR1ERES0NHQM2OF0ywBisISg45irhaOHo09Rug5SBt//KJxTXn18i3CPV7dBJTwxGRHRdJgQokXN5ZZo7Z9fuTIAVOQkAQAqm/tDvnabxY4YtUBaGEqAkxNikaqLRWOQpdZmqwNqlYBRF6vwnc0sLkaNwjQdTnhXp1ghREREtHTMd6iHT0V2Ei73DKF/aDTka7cPLPyUV59C/6JccDFYt80etv5BPr5FuBONfShKT0RcDHs4EtH0mBCiRa3TaseYa/6rUxXZBui1Grx2qTfka3cMjCAzKQ4qlQj5s+ajKE2HS93BBSNdVjvSEmPDdq8+ZZl6SAkY4jTIDHMwRERERAtnvkM9fK5ZZYSUwInG0GOwdosdWWGqEPIlhC53B1fd1BWBCqEMgxZJ8TGQEuwfRESzYkKIFrXm3sBWpzRqFbYXpeJ1BRJC7ZYRZIehobRPYZou+AohmwMZEUjI+Pasl2UZIER4k1FERES0cJr7hqFRCWQlzS++WJebjIRYdciLcvYxF/qGRsOyZR8AdFrPotblIGIwt1uiZzD8CSEhhL+X42omhIhoFnMmhIQQeUKIF4QQF4QQ54UQn/YeTxVCHBVC1Hv/mTLhPV8UQjQIIeqEEDct5BdAy1ug5coAsHNlGhp7hvw9gILVbrGHLRgBgKL0RHTbHLDZx2Y8p7FnCO/93zfw9v95BVKON84228IfjABgMEJEFALGYBTNmvuGkZMSD416fuvLMWoVthWm4tWGnpCuG86hHj5F6XMvyr1QZ8b133kB3/xrrf9Y3/AonG4Z2UU59nAkolnM529wJ4DPSSlXA9gB4H4hRDmALwA4JqUsBnDM+2d4X3s3gDUAbgbwYyEEN67SgmjuG4ZaJQIaO3rtKiMAhLRC5XJLdFrtYWtoCMy+h93pcuMnL17Czf91HG9c7sVbrQOo6xqfSGa22pEexobSPhU5SYhRC2xckTL3yUREdDXGYBS1Ahnq4XPtyjRc6h5CVwjDPdotnveGu0r7cvfQpMU2n76hUXzmj1X4m1+fQkvfMB6tbPWf5/s6I7Eot3FFMmLUwt8/k4hoOnMmhKSUHVLKSu/vbQAuAMgBcAeA33pP+y2Ag97f3wHgj1JKh5SyEUADgG0K3zcRAE9CKDs5DjHzXJ0CgBKTHkZdLF67FPwKldlmh8stA0pEhaooffqEkH3MhXf+9HV865la3FCajifu3wUAeKG2GwAw5nKjd2gUGWEcOe+TYYjD8X/cg7evzw77tYmIFjvGYBTNmvvmP9TDZ+dKz6JcKFv3xyuEwpsQGhgZQ//w5Crtuk4bbnzgJTx9tgOf3leMrx1cC7PNgfPtVgATprxGIAa7fV02jv/jHmTOc0sfES1PmkBOFkIUANgI4ASADCllB+AJWIQQJu9pOQDemPC2Vu8xWuRa+ob9P9gAIC0xFvlGXQTvyBOMBLo6pVIJ7FhpxOuXeiGlDKq3TSSCkXxjAoQALl/VWPrNpn6cabHg39++Bh+4pgAAUJ5lwAu1Znz8hpXoGQz/yPmJssK4gkdEtFQxBlu+pJS40GHDyJjLf6woTYeUME4OvZrV7kmOBBqDlWcZkBQfg9cu9eDgxuC+NdsHRiAEwroNa2W6Z2x7Y88gUnWp/uOPVrXCZh/DU5/chbJMA7ptDvzzY2fxQq0ZFTlJ6LZGLgZTqQRjMCKa07wTQkKIRAB/BvAZKaV1lv+Jnu6FKfWVQoj7ANwHACtWrJjvbVCEjIy6cOD7xycFI7FqFV7/4l4YwzB2fSYtfcM4sCYj4Pdds9KIp9/qwJXeYf9WrEC0ecuVw9lDSKtRIzclfkpTw8qmfgCYFFjtLTPhJy9dwsDwGMz+YCRy/56IiCh4jMGWt1cbenHPL09MOrYhLxmP339thO4ouB6OgCdJsbPIGNK2/XbLCEx6LWI14ZuN44sVL3UPYXP+eEKoqsmCNdlJ/j496Xot1ucm4YU6Mz65rxhmm91/nIgoGs3rb1IhRAw8gcjvpZSPeg93CSGyvK9nATB7j7cCyJvw9lwA7Vd/ppTy51LKLVLKLenp6cHeP4XJW60WjIy58A83leK3H9qGb71zLUZdbhyrNc/95gUy6HCid2g04HJlALhmZRoABL1tzFchNN/JGkopSktEY8/ksadVLRasMiUiKT7Gf2xPWTpcbonj9d3+/euRaGhIREShYQxGJxp7oVYJ/OqDW/DbD23DvTvyUd1iCXk4RiiCTQgBnvHzrf0j/s8IVLslvD0cASA3JR4xajFp2/6Yy4232izYuCJ50rk3lJpQ1WJB39AouqwOJMXHIC6GrbyIKDrNWSEkPMtQvwRwQUr5wISXngTwAQDf9P7ziQnH/yCEeABANoBiACeVvGkKv8pmCwDg3VvzYEzUQkqJHx5rwNGaLhzakjf7mxdIKMFIgTEBWUlxeO1SL963PX/Wc9stI/jdG014vKoNQw4nAMDudEMfp4E+LmbW9yqtME2H01f6/FvdpJSoau7H/vLJVVIb8lKQnBCDF+rM2ORt6ByJ/etERBQ8xmAEAJXN/SjL1GNvmednfU5yPH73RhOeu9CF9+8siMg9NXtjsOAW5XzDPXpwd+rsFWpVzf34zWtX8NLFbrjdnmK3QYcTt1RkBXzdUGjUKqxITcDl7vFFudoOG+xjbn+c5bO3zIQfHKvH8YvdMNvsEenhSEQ0X/PZMnYtgHsBnBVCVHuP/TM8QcjDQogPA2gG8C4AkFKeF0I8DKAGnukY90spXVM+lRaVquZ+FBgT/NvDhBC4cbUJD51uwcioC/Gx4V/5aA4hISSEwM6VRrxY5wkwVKqpVfaXuwfx3SN1ePZ8F6SU2Lc6Y9IWsQ15yUHfe7CK0nUYGnXBbHMgwxCHxp4h9A+PTQlG1CqB60vS8VJdN3KS4yEEYIxgrwEiIgoKY7BlzuWWqG624M5Nuf5jq0yJKErT4WhNZBNCSfExk6qT52tleiLS9Vq82tCLu7dOnxB6odaM/zpWjzMtFui1GtxckQmddvx/W+7cFP7WWIVpiZMqhCqbPVv2N+VPjsHW5iTBqIvF87VmmG2OiPVwJCKajzkTQlLKVzD9nnQA2DfDe74O4Osh3BdFESklKpst2F2cNun4gTWZ+O3rTXi5vhsH1mQqft3XLvWgsWdoxgqeUCqEAM+2sUcr21DXZcPqLMOU1//lsXM42zaAj1xXiHt35CM3JbjrKKkozdPU8HL3EDIMcajyVm5NN9Z9T6kJT1S342hNF4w6LTQBTGIjIqLIYwxG9WYbhkZd2JSfPOn4/jUZ+OXLjRgYGQsqKTOX371+BSUZemwvMk77enPfSNDxlxAC16w04tWG6Yd7DI86cd/vTiMrKR5fvWMN7tyUi0RtQHNwFsTKdB2O13fD5ZZQqwSqmvth0muRfVX7AJVK4PrSdBy7YEZ8jNpfEUVEFI34f4g0p9b+EfQMOqbskd5WmApDnAZHa7oW5LpffaoGX37iPMzeHjhXa+4bhj5OE3QgNF6yPLWxocstcabVgrs25+KLt6yOimQQABR6R89f9vYRqmzuh16rQbEpccq5u0vSIQRQ22ljuTIREdEiVNlkAQBszJu88HOgPANOt8SLdcr3cuyy2vHlJ8/j35+qmfGcliCmvE50zUojegYdaDAPTnntXJsVYy6JL99WjvfvLIiKZBDg2bY/6nT7ezdVNluwaUXKtNNq95aZMDAyhk6rHSb2cCSiKMaEEM3JVxJ7dRVKjFqFPWUmHKs1w+WeMsQkJLWdVtR22uBySzxS2TrtOb6R88GMjQc8I+MLjAl4fZrG0vVmG4ZHXViflxTUZy+ULEMc4mJUaPSOnq9stmDDiuRpt7yl6mKx0butjRPGiIiIFp/K5n6k6mKRb5ycfNmQl4K0xNgFWZR76kw7pARqOqw41zYw5XWXW6K1fzio/kE+48M9pi7KnWmxAADWRVkMVuQdPX+5Zwg9gw409w1Pqdzyua44HWpvbMYYjIiiGRNCNKeqZgviY9Qoy9RPeW1/eQb6hkbxpnf0uVIer2qHWiWwOsuAP51uhZRTE07NIa5OAcCOIiNONvZNSWj5gpH1uckhfb7SVCqBAqMOl3uGMORwoq7T6k/6TGdPqQkAuH+diIhoEapq7semFclTFr/UKoF9ZRl4sa4bDqeybaIeq2pDsSkRWo0KD51qmfJ6p9WOMZcMKQbLS01ATnI8TjROTQhVt1qQkxwfdbGLb/T85e7BWbfsA0BSfAw253OoBxFFPyaEaE5Vzf1Yl5s0bQ+a60vSEatW4WhNp2LXc7slnqxuw+7iNHxkVyEae4ZwsrFvyjmtIexf99lelAqr3Ym6Ttuk49UtAzDEaVBg1IX0+QuhKF2Hxp4hnGm1wC2BjfnTByMAsKfMmxBiMEJERLSoWIZHcal7aMakw4E1GRh0OPHG5b5pXw9Gg9mG8+1WvGfbCtxSkYnHq9tgH5uccGruDa2Ho8/2wlScbOybsuh3psUSdRXaAJCWGAu9VoPGniFUNvdDoxJYmzPzfXJRjogWAyaEaFb2MRfOt1unTFDw0cfFYOdKI47UdE1bxROMk1f60D5gx8GNObh1bRb0Wg0eOj15harLZseoyx1SuTIAbCv09BG6eoXKE4xMvxUr0orSEtHcN+xPks1WIbQm24BP7SvGHRuyw3R3REREpIQqb7Xy1T0cfa5dlYb4GLWii3K+Cu3b12fj0NY82OxOPHNu8ueHOtTDZ1thKnoGPUkvn55BB1r7RyIyyXUuQgj/olxlUz/WZBsQFzPzlN1DW3Lx4V2FUZncIiLyYUKIZnW2bQBOt5wy1nyi/eUZaOodRv00jQGD8UR1GxJi1dhfnoH4WDVu35CNw2c7YLWP+c9RanUqJzkeuSnxkyqQRkZdqOuyRd12MZ/CNB1cboknq9tRlK5DcsLM4+SFEPjs/hKsMk3d7kdERETRq6rZApWYeft6XIwau0vS8FyNGW4FejlKKfF4dRuuXZWGdL0WOwqNWJGaMGXbWHPfMNQqgazk0CpffBPMJsZgb7VaAETfln2fwjQd6rsG8VbrwIyVWz7GRC2+dFs5tJqZk0ZERJHGhBDNqsrfUDp5xnP2l2cAAI6cD32Fyj7mwl/e6sBNazKREOuZKnH3ljzYx9x4srrdf16zQqtTgGeFamLJ8vn2AbjcEuujcHUK8GwZAzxNDWdL1BEREdHiVdXcj9JMA3SzTNnaX56JTqsdZ6dp/hyoN5v60do/goPeqmKVSuDQlly8frkXTb3jVTzNfcPITo5DzDStBAJRYEyASa+dVKVd3TIAlQAqZtmKFUlF6YnotNoxMuaaNTYmIlosmBCiWVU2WbAiNQFpiTP3oMkwxKEsU49TV0JvLP1inRk2uxMHN+b4j63LTUJZph4Pn27BmMuNp8604xcvN0KjEshOjg/5mjsKjegdGvWPPq32N5SOzmDE19QQABNCRERES5DbLVHdbMGmOZIOu0s807pOXQm9j9BjVW2Ij1HjpjWZ/mN3bc6DSgAPn26BZXgUP3vpEl662I381NB7LAohsK0wFScujy/KnWmxoCRDP2sSLJIYgxHRUsOEEM1ISolK73SLuWzIS8aZVkvIfYQer2pHWmIsrl1p9B8TQuDQljy81TqAa775PD75YBUcThe+d2g9YjWhfwtvK0wFAJzwliyfaR1AdlIcTIbobAKYnBCLVJ1nmxhXp4iIiJaehu5B2BzOOZMOJn0ccpLjcaY1tAqhUacbT5/twP7yjEnJmMykOFxfko7fvtaEHf95DP/511qUZxnwxVvLQrqez/YiIzqtdrT0jUBKiTOtlqjdLgaMJ4TSErXITQl9UZKIKNKYEKIZtQ/YYbY55twjDQDr85JhGR5Dk7e3TzAsw6N4vtaM29dnT5lo9o6NOchO8lQi/eqDW/D8527AHRtyZvikwOQbE5Bh0I4nhFos2BDliZaiNB0StRqUZLA3EBER0VJT2TT3ln2f9XlJqG4JrUr7xTozLMNjeMfGqbHVh3cVQa0SOLghB3/99HV48L4dWJOtTBX1du+i3BuNvWjuG4ZleCxqt+wD4wmhTSuSIUT0DR4hIgpUdNZj0oLqtjmQrp97DLkvGJlPSaxvNedMqwUFacGVEf/ylUaMuty4e2velNdSdLF47Yv7gvrcuQghsL3QiBONvegbGkVz3zDet33FglxLKe/bsQKdAw6oo3AKGhEREU3ldLkxMDIG4yzb8H0qm/uRkhAzaYvSTNbnJuPw2U70Djrm9dlXk1LiRy9eQk5yPHYVp015fVdxGs585UDAnzsfxaZEpOpicbKxD1pv1Xc0T+XSaTX4yK5C7C5Jj/StEBEpghVCy0yDeRDbvvEcnq/tmvU8t1viT2+2IiFWjbKsuatQSjISERej8vffCVTvoAO/eqURt63LQlmmIajPCMW2wlR0WR14sroNAKJ6dQoA3rExFx+/YWWkb4OIiIjm6fcnmrH72y/AMjw663ndNgeerzVjc37KvKpQfDHLW0FuGzt2wYwzLRZ8at+qkBtFB0oIgW0FqTjR2IvqFgviYlRRX/38r7eVMyFEREsGE0LLzFutFkgJ/OVMx6zn/eiFBhy/2I0v3FI2r+BAo1ZhbU4SzgSZEPrpS5cwMubCZ24sCer9odpR5ClZ/sUrjVAJYG2UTrcgIiKixam6xYKhURdeqDPPeI7T5cYnH6yEze7EZ/eXzutz1+YkQSUQ1KKc2y3xvaMXUWBMwJ2bcgN+vxK2FaaipW8ER2u6UJGdFPakFBHRcsa/cZeZi12eSVrHas0Yc7mnPefl+m488NxFHNyQjXt35M/7s9fnJuNcu3XGz51Jl9WO/3u9Ce/YmItVpsSA3quUlemJMOpi0do/gmJT9E63ICIiosWp3mwDABw5P3OV9nePXMQbl/vwjXesRXn2/CqmdVoNik16nGm1BHxPh8914EKHFZ+5sSRiiZjt3kW51v4RbIjyCm0ioqWGCaFlpsFsgxDAwMjYtCNK2ywj+NSDVSgx6fGNO9cG1DBvfV4yRp1u1HXaArqnH73QAJdb4tP7igN6n5J8o0+B6N67TkRERIuP2y3RYB6EEMBLF7thH3NNOefZ85346UuX8N7tK/DOzYFV66zP81RpBzLt1ely44GjF1GSkYjb12cHdD0llWUaYIjzLMRF+5Z9IqKlhgmhZeZi1yD2lJqg1ahwtGbyCpXT5cYnfl+JMZfET+7ZhITYwKpkfKs6gZQst/QN48GTzTi0NQ8rjAkBXU9p4wmh5IjeBxERES0trf0jsI+5cUtFJoZHXXj9Uu+k15t7h/H5h89gXW4SvnJ7ecCfvz4vGf3DY2jpG5n3e56obsfl7iF8dn9JRIdUqFUCWws8MRgrhIiIwosJoQiTUqJn0IFum+dX39BoQKs7gRgZdaGlfxjrcpOwa1UajpzvmnStP1e24kyLBd+4cy2K0gPfupWbEo9UXey8+wi53RL/+dcLEELgk3tXBXw9pR1Yk4lNK5JxQ6kp0rdCREREC2zU6fbHX902B2z2sQW71sUuT/X0+3cWIFGrwZGazkmvf+vZWrikxI/ftwlajTrgz/dNe62e57ax/qFRPHD0ItZkG3DTmsyAr6e0d23Jw4HyDOSmxEf6VoiIlhU2Somw7z9Xjx8eq5907Eu3lePDuwoVv9al7kFICZRk6JFpiMOxWjMudNhQnm2Aw+nCD481YH1eMm5flxXU5wshsCEveV572KWU+I+na3D4bCf+8eZSZCVFPgDISY7Ho5+4NtK3QURERGFw989fR1Wzxf9ntUrgL5/chdVZyk87rTd7ejiWZxtwfUk6nrtgxtfdEiqVQE27FU+/1YG/27MKuSnBVUuXZuoRF6PCmRYL3j7H9q9BhxMf/M0pdA868MP3bAioPcBCubkiEzdXRD4xRUS03LBCKMKOX+xGsSkR/3GwAv9xsAKrswz4f280LUiVkK+ZYbEpEftWZ0AI+LeNPXSqBW2WEXz+QElIgcH63GTUmwfnXGX77+cb8OtXr+Bvri3Ax6/n+HQiIiIKn4GRMVQ1W3BLRSb+42AFvnrHGmhUAn840bwg16vvsiHTEAdDXAz2l2eg2+bwV/M8cPQiDHEafHR3UdCfH6NWoSI7ac5t+w6nC3/7u9M41zaAH713EzbnpwZ9TSIiWvyYEIogh9OFmnYr9paZcO+OfNy7Ix8f3lWIxp4hnGyc2vA5VBe7BqFRCRSk6ZCu12LTihQcvdCJkVEX/vv5BmwrTMWuVWkhXWN9XhKkBM62Dcx4zv+9fgUPHL2IOzfl4EtvK4+KlSkiIiJaPnzb29+33RN/vX9nAW6uyMTj1W3TNnwOVb15EMUZnu34e0pN0KgEjtZ0obrFgucudOG+3UVIio8J6Rrr85Jxrm1gxmmvTpcbn36wGq829OLb71yH/eUZIV2PiIgWPyaEIuhcmxWjLjc2rkjxH7t1bSYStRo8dLpF8evVdw2iME3nHyu6vzwD59qs+NYztei2OfC5/aFVBwHje9jPtEyfEDrXNoAvP3EeN67OwLffuQ6qCDYxJCIiouWpsrkfQkyeLHr3ljzY7E48c65zlncGzjdhrNikBwAkJcRge1EqjpzvxPeO1CFVF4sPXht6q4D1eclwzDLt9RevNOKZ85348m3lAU8xIyKipYkJoQiqau4HAGxakew/lhCrwe3rs3H4bAesCjc3rDfbUJKh9//ZtzL0m9eu4LriNGwvMoZ8jRRdLPKNCTM2ln7pYjcA4Nt3rYNGzW8/IiIiCr/KZgtKTHro48arcnYUGZGXGo+HTim7KNdmGcHImAslGeMDO/avzsCl7iG8XN+Dj1+/Eona0Nt6bvAtys3Qy/HFOjMqcgz40AL0qSQiosWJ/0ceQVXNFuQkx8NkiJt0/N1b82Afc+PJ6nbFrmUfc6G5bxirTOPByMr0RKxM1wEAPnegVLFrrc+dubH0m039WGVKRKouVrHrEREREc2X2y1R3dyPTfnJk46rVAJ3b8nD65d70dQ7pNj1fBPGiicmhLyTvUx6Le7dma/IdfJS45GSEDPtotyYy43qFot/vDsRERHAhFBEVTb3Y1N+ypTj63KTUJapx8MKbhtrMI9PGJvoMzeW4NP7irEhL1mxa63PS0bHgB0dAyOTjrvdEqev9GHLNF8zERERUThc7hmE1e7Exryp8chdm/OgElA0BvNNGFtlGo/BcpLj8bHrV+JrBysQFxP4mPnpCCGwPi8ZlRMmp/mcb7fCPubGFjaRJiKiCZgQipCOgRF0DNixcZpEjBACh7bk4a3WAVzosCpyvQZvMDJxdQoAbl+fjb/fX6LINXx2ereevXyxZ/I9dHsCsC1cnSIiIqIIqWyyAMCUCiEAyEyKw/Ul6XjkzVY4Z2jOHKiLXTZkGLRTmkZ/4ZYyHFij7Kj1nUVGNJgH0W6ZvCh3+opnWMmWAi7KERHROCaEIqTKu3ozXYUQALxjYw5i1SrF9rFf7LJ5JowZdYp83mxWZ+mRaYjDC3XmScdP+YIRVggRERFRhFS19MMQp0FRWuK0r9+9NQ9dVgeO13crcr0G8+CUCu2FsrfMBAB4sW7yvZ++0o+81HhkXNWmgIiIljcmhCKksqkfWo0K5VmGaV9P0cVi/5oMPF7dpsgKVb15EAVpOsRqFv5fuRACe8rS8XJ9D0ad4/f+5pV+pCVqkW9MWPB7ICIiIppOZZMFG1akzDjpdG9ZBoy6WDzyZmvI13K7Jeq7Bif1cFxIq0yJyEmOx/O144tyUkqcburHVm4XIyKiqzAhFCGVzf1Ym5M0a4Jmb6kJluExXFGgsWF9l23SdIuFdkOpCYMOJ0439fmPnWry9A8KdbQ9ERERUTCs9jFcNNsmTXi9WqxGheuK0/xby0IxPmEsPBVCvkW5Vxt64HC6AABNvcPoGXRgM7eLERHRVZgQigCH04Vz7VZsnCUYAYDybE/1UE2HLaTrjU8YC08wAgC7VqUhRi38JctdVjta+ka4d52IiIgi5q2WAUgJbFoxezxSnm1Ap9WOvqHRkK5Xb/ZOGAtThRDg2TY2MubCyUbPotzppn4AYENpIiKaggmhCKhpt2LU6Z4zGFmZnogYtUBNe2iNpS91D8ItEdYKIZ1Wg+2FRn/J8ukrnmCE406JiIgoUiqbPfHI+jmmq672bukPdbhHfZd3qEcYF+V2FqUhVqOaEIP1wRCnCWtSioiIFgcmhCKgco6G0j6xGhWKTXrUhBiM+CeMhTEYAYAbStPRYB5ES98wTjf1IT5G7a96IiIiIgq3yuZ+FJsSp0z8uppiCSHzIEx6LZISZr+ekuJj1dhZZPRXaZ9u6sfm/Jl7JhER0fLFhFAEVDX3Izspbl6THlZnGUIORi522aBWCRSmLfyEsYnGJ12YcfpKPzbkJSNGzW85IiIiCj8pJaqaLXNWaANAWqIWJr025CptTw/H8C7IAZ4YrLFnCFXN/WgwD2ILK7SJiGga/L/zCKhqtmDjPEevl2cb0G1zoNvmCOpabrfE6Sv9KDAmhGXC2ESFaTrkGxPwl7c6UNNhZf8gIiIiipjLPUMYGBmbs4ejT3m2IaQqbcvwKOrN4ZswNtGeUs+i3HeP1AEAtswz7iQiouVFE+kbWChvNvXBMjzm/3O+UReRH8hXM1vtaLOM4G+uLZjX+eUTSpbT9ekBXUtKia8fvoATjX344i1lgd5qyIQQ2FNqwm9euwIAXJ0iIiJa4hxOF16/1AuXW/qPbVyRglRdbATvyqPKu2V/4zwqhABPDPZKvWdal1ajDuhaQw4nPvjrU3C6Je7YkB3orYZshTEBRek6vNrQixi1mLNnEhERLU9LMiH0VqsF7/zJ65OO6eM0OPnPNyI+NrAf6Eo72zYAYO5mhj6+hFBNhxW7SwJLCP3ohQb88pVGfPCaAty3uyig9yplT5knISQE5r0iR0RERIvTL15uxHeerZt0bF+ZCb/84NYI3dG4c20DiI9Rz3uBcHWWAU63RH3XICpykuZ9HYfThb/93Zs42zaAn7xv07wTUErbW2rC5e5GVOQkIS4msvEvERFFpyW5ZezRyjbEqlV45GM78eTfXYvvvWs9bHYnDp/tiPSt4Xy7FUKMNyucS1JCDHKS4wPew/6716/gu0cu4s6NOfjybeUQIjKNBLcXpiI+Ro2yTAMMceFrqEhEREThJaXEo5Wt2JCXjCf/7lo8+XfX4t4d+XihzozOAXukbw/n2wdQnm2Aep7NlX2DMALp5eh0ufHpB6vxSkMPvvXOdTiwJjOoe1XCHm8vR054JSKimSy5hJDT5cZf3mrHvtUmbClIxbrcZNy5KQeFaTo8dLol0reHc20DKDTqkKidf3HW6ix9QMHIczVd+PKT53Hj6gx86651EZ0qERejxj/dXIr796yM2D0QERHRwjvfbsWl7iEc2pKHdbnJWJebjI9eVwS3BB55M7IxmNstUdNuxZoApp0WGHWIi1EF1EfoZ8cv45nznfjybeW4a3NuMLeqmG2Fqbhnxwoc2hLZ+yAioui15BJCrzT0oGdwFAc35viPCSHwri25ONnYh8aeoQjenSdYWhNA2THg2TZ2qXsQ9jHXvM7fWpiKD19biP9578aomOr1wWsLcdu68O+fJyIiovB5rKoNMWqBW9eOV8WsMCZgZ5ERD59uhXtCX6Fwu9I7hKFRFyqy5x+DqVUCZZmBTXt9oroN2wtT8aFdhcHcpqJi1Cp87eBarDKFf8oZEREtDpHPFijsiep2GOI0uKF0cr+duzblQq0SeDiCVUL9Q6Nos4wEtDoFeEqW3RKo67TN6/yk+Bj8623l3C9OREREYeFySzx5ph17Sk1ITpjcQPrurXlo7hvGG429Ebo74Jx36315EDFYTbsVUs6dzGrpG8bFrkHsL88I6h6JiIjCbUklhIYcTjxzrhNvW5c9ZRqEyRCHPaXp+PObrXC63Ipf+58fO4tPPlg16+qXr+Q4kNUpYLzfUCArVERERETh8tqlHnTbHJMqtH1ursiEPk6Dh08pvyhnH3Phlh+8jP/3RtOs551vH0CMWqAkI7BqmdVZBljtTrRZRuY899iFLgDAvtVMCBER0eKwpBJCR2u6MDLmwsEZxnse2pIHs82BF+u6Fb3uoMOJR0634qkz7fjRCw0znnfOO2Es0AqhvJQEJGo1Ae1hJyIiIgqXx6raoNdqsNfbyHiiuBg1Dm7IwV/PdWJgeEzR6752qQcXOqz4tyfP4/SVvhnPO99mRWmmHrGawELfcv+i3NxV2sdqzShK16EwTRfQNYiIiCJlSSWEHq9uQ05y/IzTFPaUmZCu1+KPCq9QHb/YjVGXGxU5Bjzw3EW8XD99wulcuxU5yfFI0cVO+/pMVCqBskx9wJPGiIiIiBbayKgLz57rxC1rM2fcrn731jw4nG48caZN0WsfrelColaD3JR4fOL3lei2OaacI6XE+fYBrMkKrEIbAMoy9RACc8ZgNvsY3rjcixtZHURERIvIkkkI9Qw68HJ9D96+IXvGqVoxahXeuSkXL9SZYbYqN/70aE0XUhJi8OBHd6DEpMenHqyatrTYN+40GOXZBtR22iLakJGIiIjoakcvdGFo1DXtdjGfipwkrMk24CEFF+XcbomjNWZcX5qOn9yzGVb7GD75YOWU1gDtA3b0D4+hIifwGEyn1aDAqJtz2/4r9T0Yc0nsm6ZCioiIKFotmYTQX860w+WWeMcswQgAHNqS6298qIQxlxvHLnRhb1kG9HEx+Mk9mzDmkvjE7yvhcI5PBRtyONHYMxRw/yCf8iwDBh1OtPQPK3LfREREREp4oqoNmYY47Cg0znre3VvzcL7dOu8hGXOparGgZ9CBA+UZWJ1lwDfesRZvXO7Dd47UTTrvvHfLfnkIMdhc2/afu2BGUnwMNuenBHUNIiKiSFgyCaEnz7RjdZZhzmaBRemJKDYl4qWLyvQROtXYB6vdiQNrMvyf/+271uFMi2XSKtiFDiukDLx/kA8bSxMREVG0sQyP4qWL3bNWaPv4pm+9dNGsyLWP1nRBoxK4odRTlXPnply8Z1sefn78MhrMg/7zzrVboRLA6qzgxq+vztKjuW8YNvv0/Y9cbokX6sy4oTQdGvWSCa2JiGgZiPqfWq55bJFqt4ygstmC29ZlzeszrytOx8nGPtjHXHOfPIcjNV3QalS4rjjNf+yWikxsWpGMnx+/7C9b9jWUrsgJbnWqNFMPlQDOs48QERERLTC3W85rm/qRmi443RJvWzt3DJaVFI9iUyJeru9R4hZxtKYTO4qMSIqP8R/73IFSxKpV+PnxS/5jNe0DWJmeiIRYTVDX8W33n6mxdHVLP/qGRjldjIiIFp2oTgi9XN+N1V96Bv95+AJGRmdO3vz1XCcA4NZ5BCMAcF1JGhxON07NMo1iPqSUOFrTheuK0yYFGUIIfOz6lWjtH8HTZzsAeFanjLpYZBi0QV0rLkaNskwD3mzqD+meiYiIiObyrWdrsflrR/FoZSuknDkxdPhsB3JT4rEud34LXtcVp+OEAotyl7oHcal7yF915JOWqMWhLXl4rKoNnQOefpHn2qxBV2gDwLrcZACYMQY7dsEMtUrg+pL0oK9BREQUCVGdEHr4dCsA4GfHL+OWHxzH65d6pz3v8NkOrM4yzHvM5/bCVMSqVSGvUNV0WNFmGcGB8swpr924OgOrTIn46UuXvdMtrFiTkwQhZi+nns22wlRUNvdj1Ome+2QiIiKiIDhdbjxyuhVDoy589uEz+OCvT6F1mh6GA8NjeLWhB7euzZp3fHNdSRpGnW6cbAxtUe5oTRcATEkIAcBHryuCyy3xq1cb0TPoQKfVHnSFNuBJMq0yJeJE4/Rx6LELZmwtSJlUqURERLQYRG1CyD7mwrELXXjn5hz84SPb4ZbAe/73DfzwWP2k8zoGRvBmUz/etnZqUmYmCbEabClIwfEQ+wgdOd8FIYC9q6dOlFCpBO7bXYQLHVY8d8GM+i4bKkJYnQKAHUWpsI+5cbbNEtLnEBEREc3kZGMfeodG8cCh9fjK7eU4daUPB75/HK82TF5IO1LTiTGXnHeFNjBxUS7UGKwTFTkGZCfHT3lthTEBb1uXjT+caPYvJgY75dVnW2EqTl/pnzLBrKVvGHVdNo6bJyKiRSlqE0Iv1nVjeNSFW9dm4ZpVaXj2M7vxtnVZ+MGx+knTKf56NrDtYj7XFaejttMW0vj5ozVd2LwiBWmJ028DO7ghB5mGOHz5iXNwuiXWBDndwmdrQSoA4I3Loa2qEREREc3k6bMdiI9RY19ZBv7m2kIc+fvdyDTE4V8eOztpgurhsx3ISY7H+nluFwPGF+VCqdLutjlQ1WLB/tUzLwb+7e4iDDqc+MbhCwAQcgy2vTAVgw7nlD5Cxy54KpXYP4iIiBajqE0IHT7bgZSEGOws8owwjY9V42t3VCBRq8FX/3Lev5/98NkOlGXqUZSeGNDn+5pAv9IQXEDS2j+Mmg6rf7rYdGI1Knx4VyE6vHvYK3JCW50yJmpRbErEiRDLrImIiIim43JLPHu+E3vLTIiPVQMAclMS8JW3r8GV3mH8+tUrAICBkTG80tCDW9dmBrwdPtRFuWMXuiAlZo3BKnKScF1xGjoG7FiRmhDydq7thZ549OptY8dqzShK1827bQEREVE0icqEkG+72E1rMieN70zRxeKz+0vwakMvnj3fhc4BO0439c9rssXVyrMMMOpig16heqyyDQBw05rZt6q9Z/sKGOI00Gs1yEtJCOpaE20vSsWbV/qmlCwTERERhepEYy96BkenVF5fX5KOG1eb8N/H6mG22nG0pivg7WI+oS7KPVrZhnxjAsoyZx8j//HrVwJASA2lfTKT4pBvTJi0KDfocOLE5T7sK5vaOoCIiGgxiMqE0EsXuzHk3S52tfdtX4GSjER8/XANHq/2JGVunee4+YlUKoFdxWl4ub5nXmNVJxpzufH7E824rjgN+cbZV4QStRr829vX4P69q6BSBd9Q2md7oRFDoy6OnyciIiLFHT7bgbgYFfaUTZ2Y9a9vK8eoy41vP1vn3y62IS854GuEsihX027FySt9uGd7/pyVSTtXGvGRXYV4z7YVAV9nOtsLU3HqSp8/bnz5YjdGXW5uFyMiokUrKhNCh892IDkhBjtXGqe8plGr8JXb16ClbwTfO1KHskw9Vga4XcznuuJ09Aw6UNtpm/vkCY7WdKHTascHdhbM6/w7N+XiY95VqlBtL/T0EQp1OgcRERHRRC63xDPnurC3zISEWM2U1wvSdPjQrkI88mYrjl/sDmq7GBDaotzv3riCuBgV3rUld85zhRD419vKsVuhcfDbC42wDI+hrssTNz53wYyk+BhsyU9R5POJiIjCLeoSQp7tYmbcVJ6JGPX0t3ftqjTctCYj6FJlH1/JcqCTLn7z2hXkpsRjTwRKhE2GOBSm6WYcfUpEREQUjJONfegZdMwaW31ybzHS9Vo43aHGYIEvylmGR/FYVRsObshBckJs0NcO1rYJi3Iut8SLdWbcUJo+qb0BERHRYhJ1P8GOX+zGoMM55zawL91Wjj2l6bhr89wrRDPJMMShNEMfUMnyhQ4rTjb24d4d+VArsAUsGNsKUv3BCBEREZESfNvF9s6y4JWo1eCbd67FwQ3ZQW0X8wlmUe5Pp1thH3Pj3p35QV83FHmpCchJjseJxl5Ut1jQOzQ667MiIiKKdlGXEPJtF7tmmu1iE+WmJODXf7MN2cnxIV3vuuI0nGzsw5DDOeU1+5gLz9d2TUq8/N/rTdBqVDi0JS+k64Zie1EqrHYn6gLc6kZEREQ0HZdb4pnzndhTOv12sYn2rc7Af717Y1DbxXx8i3Iv1k2fEGrpG0Z1i2XS/f3ujSZsLUgJeYR8KLYXehblnrvQBbVK4IYSJoSIiGjxiqqE0JtN/fjLWx24dW3WjNvFlLZ3tQmjLve0K1Q/fekSPvSb07jzx6/iQocVA8NjeNxbqpyiC3+pss/2oulHnxIREREF42fHL6Hb5sAdG7LDds29q004eaUPA8NjU177+4eqcfBHr+JzD5+BZXgUL100o7lvGB+4piBs9zedbYWp6BkcxR9PNmNrQQqSEkIbZ09ERBRJUZMQ6hl04P7fVyI7OR7/dFNZ2K67rSAVSfExOFLTNeW1p9/qQL4xAa39I7j9v1/BR393GiNjroiVKvvkJMcjJzmejaWJiIgoZK829OC7z9bhtnVZuGlNZtiue6A8Ay63xAt15knHOwZGcLqpH+tzk/BEdRtufOAlfOuvdTDptWG9v+n4FuX6h8dwI6eLERHRIhc1CaFPPViF/uFR/OSeTWFdbdGoVdhXZsLztWY4XW7/8fouG+rNg/jQtYV47rPX4+0bsnGysQ9b8lNQkRO5UmWf7UWekmUp2UeIiIiIgjPmcuNTD1ahKD0R33rnupC2gQVqfW4yTHotjtR0Tjr+17OeP3//7g148u92ITs5HnVdNrxve37YKshnUmBMgEmvBQD2DyIiokVv9k3iYdJptaPnUi++fde6iOwL31+egUer2nDqSr9/1P3TZzsgBHBLRSZSdLF44NAGvH9nATIM2rDf33R2FBrxaGUbLnUPYpVJH+nbISIiokWouW8Y2WMu/PSezdBpwxsWqlQC+1Zn4MnqNjicLmg1agCefpJlmXoUpScCAB79+DV4uaFnzv6S4SCEwN4yE862Dfjvj4iIaLGKigqhbpsD79mWF7FGzbtL0hGrUeHohG1jh892YGt+KkyGOP+xDXnJyEoKrYm1Um5ak4kXP38DVjIYISIioiANj7rwrbvWYZUpMvHEgfIMDI268NolT1/EzgE7Tjf1420TRtpr1CrsKTX5E0aR9tU7KvDIx66J9G0QERGFLCoSQnqtBl+5fU3Erq/TarBrVRqO1HRCSokGsw0XuwZx69rI7lOfTVJCDArSdGEt7SYiIqKlJS1Ri9vWha+R9NV2rjRCF6vGkfOeRbm/nusAANy6Lmu2t0VUrEaF+NjoSE4RERGFIioSQgVpOsTFRPYH6/7yDLT2j6C204bDZzs928XWRm8wQkRERBSqrKS4uU9aQHExalxfmo7nLnTB7Zb+7WKsgCYiIlp4UZEQigb7VpsgBHC0pguHz3ZgS34KMgyRDZKIiIiIlrr95RnotjlwpKYLp5v6cSsX5IiIiMKCCSEvkz4OG/OS8fsTTajttDEYISIiIgqDvaUZUKsEvvLkOUgJxmBERERhwoTQBPvLM9FldQAAbqlgMEJERES00JISYrC9MBVdVgdKM/QRa3BNRES03MyZEBJC/EoIYRZCnJtwLFUIcVQIUe/9Z8qE174ohGgQQtQJIW5aqBtfCPvLMwAAW/JTkBnhPfVERES0vC3HGIzVQUREROEznwqh3wC4+apjXwBwTEpZDOCY988QQpQDeDeANd73/FgIsWjGMKwyJeIDO/Nx/55Vkb4VIiIiot9gmcRgb1+fjZvXZOLQ1txI3woREdGyMWdCSEp5HEDfVYfvAPBb7+9/C+DghON/lFI6pJSNABoAbFPmVsPj3++owJ4yU6Rvg4iIiJa55RSDGRO1+Om9m5GVFB/pWyEiIlo2gu0hlCGl7AAA7z99GZQcAC0Tzmv1HiMiIiKi0DEGIyIiIkUo3VRaTHNMTnuiEPcJIU4LIU53d3crfBtEREREywpjMCIiIgpIsAmhLiFEFgB4/2n2Hm8FkDfhvFwA7dN9gJTy51LKLVLKLenp6UHeBhEREdGywhiMiIiIFBFsQuhJAB/w/v4DAJ6YcPzdQgitEKIQQDGAk6HdIhERERF5MQYjIiIiRWjmOkEI8SCAGwCkCSFaAXwFwDcBPCyE+DCAZgDvAgAp5XkhxMMAagA4AdwvpXQt0L0TERERLVmMwYiIiGghzZkQklK+Z4aX9s1w/tcBfD2UmyIiIiJa7hiDERER0UJSuqk0ERERERERERFFOSaEiIiIiIiIiIiWGSaEiIiIiIiIiIiWGSaEiIiIiIiIiIiWGSaEiIiIiIiIiIiWGSaEiIiIiIiIiIiWGSaEiIiIiIiIiIiWGSaEiIiIiIiIiIiWGSaEiIiIiIiIiIiWGSaEiIiIiIiIiIiWGSaEiIiIiIiIiIiWGSaEiIiIiIiIiIiWGSGljPQ9QAhhA1AX6fuYpyQAA5G+iXlIA9AT6ZuYp8XyTIHF81z5TJXHZ6o8PtOFEc3PNV9KmR7pm6BxjMEWBP++UB6fqfL4TBfGYnmufKbKi+ZnOmP8pQn3ncygTkq5JdI3MR9CiJ9LKe+L9H3MRQhxms9UeYvlufKZKo/PVHl8pgtjMT1XigqMwRTGvy+Ux2eqPD7ThbFYniufqfIW0zOdiFvGAvdUpG9gCeIzVR6fqfL4TJXHZ7ow+FxpqeL3tvL4TJXHZ6o8PlPl8Zkqb1E+UyaEAiSlXJT/oqMZn6ny+EyVx2eqPD7ThcHnSksVv7eVx2eqPD5T5fGZKo/PVHmL9ZlGS0Lo55G+gSWIz3Rh8Lkqj89UeXymyuMzpaWK39vK4zNVHp+p8vhMFwafq/L4TBdQVDSVJiIiIiIiIiKi8ImWCiEiIiIiIiIiIgqTBUsICSF+JYQwCyHOTTi2XgjxuhDirBDiKSGE4ar3rBBCDAohPj/h2N1CiLeEEOeFEN9eqPtdDAJ5pkKIAiHEiBCi2vvrpxPe83UhRIsQYjASX0c0UfCZPiOEOOP9Pv2pEEIdia8nGij4TF8UQtRNeM0Uia8nGijxTIUQ+gnHqoUQPUKI/4rQlxRxCn6f8mcURRXGXwuDMZjyGIMpjzGY8hiDKY8xWJSRUi7ILwC7AWwCcG7CsVMArvf+/kMA/uOq9/wZwJ8AfN77ZyOAZgDp3j//FsC+hbrnaP8VyDMFUDDxvKs+ZweALACDkf6aIv1LwWdq8P5TeL+P3x3pr20JPNMXAWyJ9NcTDb+UeqZXfeabAHZH+mtbzM+UP6P4Kxp/Mf6K/HNlDBb2Z8oYTPlnyhhM4Wd61WcyBmMMFjW/FqxCSEp5HEDfVYdLARz3/v4ogHf6XhBCHARwGcD5CecXAbgopez2/vm5ie9ZbgJ9prN8zhtSyg6Fb29RUvCZWr2/1QCIBbBsm3Mp9UxpnNLPVAhRDMAE4GVFbnARUuiZ8mcURR3GXwuDMZjyGIMpjzGY8hiDKY8xWHQJdw+hcwDe7v39uwDkAYAQQgfgnwD8+1XnNwAo85aKaQAc9L2H/KZ9pl6FQogqIcRLQojrwn9ri1ZQz1QI8SwAMwAbgEfCcqeLR7Dfp7/2lod+SQghwnKni0co/+2/B8BD0rukQn6BPlP+jKLFgvHXwmAMpjzGYMpjDKY8xmDKYwwWIeFOCH0IwP1CiDcB6AGMeo//O4DvSykn7aeWUvYD+DiAh+DJol4B4Azb3S4OMz3TDgArpJQbAXwWwB/EVT0DaEZBPVMp5U3wlIFrAewN7y1HvWCe6fuklGsBXOf9dW+Y7znahfLf/rsBPBi2O108Anqm/BlFiwjjr4XBGEx5jMGUxxhMeYzBlMcYLEI04byYlLIWwAEAEEKUAHib96XtAO7yNoNKBuAWQtillP8jpXwKwFPe99wHwBXOe452Mz1TKaUDgMP7+zeFEJcAlAA4HaFbXTRCeaZSSrsQ4kkAd8BT7kgI7plKKdu8x21CiD8A2Abg/yJw+1Ep2O9TIcR6ABop5ZuRuO9oFuT3KX9GUdRj/LUwGIMpjzGY8hiDKY8xmPIYg0VOWCuEhLdDvRBCBeBfAfwUAKSU10kpC6SUBQD+C8A3pJT/c9V7UgB8AsAvwnnP0W6mZyqESBfeKQtCiCIAxfD0CKA5BPpMhRCJQogs73ENgFsB1Ebi3qNVEM9UI4RI8x6PAXAbPKWk5BXCf/vvAVemphXMM+XPKFoMGH8tDMZgymMMpjzGYMpjDKY8xmCRs2AVQkKIBwHcACBNCNEK4CsAEoUQ93tPeRTAr+fxUT/wZlMB4KtSyouK3+wiEeAz3Q3gq0IIJzzZ0o9JKfu8n/NtAO8FkOD9nF9IKf8tbF9IFFHimQohMgA8KYTQAlADeB7ev8SWI4WeqQ7As95ARA1Po7j/DeOXEVWU+m/f6xA8AfOypuAz5c8oiiqMvxYGYzDlMQZTHmMw5TEGUx5jsOgi2M+KiIiIiIiIiGh5CXdTaSIiIiIiIiIiijAmhIiIiIiIiIiIlhkmhIiIiIiIiIiIlhkmhIiIiIiIiIiIlhkmhIiIiIiIiIiIlhkmhIhIMUKIZCHEJ7y/zxZCPBLpeyIiIiJa6hiDEVEwOHaeiBQjhCgA8BcpZUWk74WIiIhouWAMRkTB0ET6BohoSfkmgJVCiGoA9QBWSykrhBAfBHAQgBpABYDvAYgFcC8AB4BbpZR9QoiVAH4EIB3AMICPSilrw/1FEBERES0yjMGIKGDcMkZESvoCgEtSyg0A/uGq1yoAvBfANgBfBzAspdwI4HUA7/ee83MAn5RSbgbweQA/DsdNExERES1yjMGIKGCsECKicHlBSmkDYBNCDAB4ynv8LIB1QohEANcA+JMQwvcebfhvk4iIiGhJYQxGRNNiQoiIwsUx4ffuCX92w/N3kQqAxbuyRURERETKYAxGRNPiljEiUpINgD6YN0oprQAahRDvAgDhsV7JmyMiIiJaohiDEVHAmBAiIsVIKXsBvCqEOAfgO0F8xPsAfFgIcQbAeQB3KHl/REREREsRYzAiCgbHzhMRERERERERLTOsECIiIiIiIiIiWmaYECIiIiIiIiIiWmaYECIiIiIiIiIiWmaYECIiIiIiIiIiWmaYECIiIiIiIiIiWmaYECIiIiIiIiIiWmaYECIiIiIiIiIiWmaYECIiIiIiIiIiWmb+Pxi/ni6AuNzlAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1440x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(20,8), nrows=1, ncols=2)\n",
    "\n",
    "air_passengers_ts_outliers_removed.to_dataframe().plot(x = 'time',y = 'y_0', ax= ax[0])\n",
    "ax[0].set_title(\"Outliers Removed : No interpolation\")\n",
    "air_passengers_ts_outliers_interpolated.to_dataframe().plot(x = 'time',y = 'y_0', ax= ax[1])\n",
    "ax[1].set_title(\"Outliers Removed : With interpolation\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **2.2 MultivariateAnomalyDetector**\n",
    "This anomaly detection method is useful to detect anomalies across multiple time series. Anomalies are detected based on deviations from the predicted steady state behavior. The steady state behavior of a system of metrics is predicted by modeling the linear interdependencies between time series using a Vector Autoregression (VAR) model. \n",
    "\n",
    "This approach is especially suited for detecting multivariate anomalies - small anomalies but persistent across a multiple time series.\n",
    "\n",
    "In addition to identifying an anomalous event, this method has useful utilities to flag specific time series that were affected for a high level root cause analysis."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here are the attributes when initializing `MultivariateAnomalyDetector`:\n",
    "* **data**: TimeSeriesData - Note that data should be deseasonalized and detrended prior to detection\n",
    "* **params**: `VARParams` class initiated with appropriate parameters for the VAR model training\n",
    "* **training_days**: Initial number of days (can be a fraction) to use for training the model. \n",
    "\n",
    "Here are the attributes for the `VARParams` class:\n",
    "* **maxlags**: Maximum number of lags to check for order selection (defaults is 12)\n",
    "* **method**: Estimation method to use (defaults is ordinary least squares (OLS))\n",
    "* **ic**: Information criterion to use for VAR order selection (defaults to None)\n",
    "* **trend**: \n",
    "    * 'c' - add constant (Default), \n",
    "    * 'ct' - constant and trend, \n",
    "    * 'ctt' - constant, linear and quadratic trend,  \n",
    "    * 'n'/'nc' - no constant, no trend"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we provide an example of how to use `MultivariateAnomalyDetector` that uses the `multivariate_anomaly_simulated_data` data set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "from kats.detectors.outlier import MultivariateAnomalyDetector, MultivariateAnomalyDetectorType\n",
    "from kats.models.var import VARParams\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings(action='ignore',category=FutureWarning)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We begin by loading and plotting the data as follows.  We can see that at the end of January, there a subsequent movement in metrics 5 and 6 that represents a multivariate anomaly because of the apparent coordination and persistence of these spikes (even though neither spike is particularly large in magnitude)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='time'>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Load the demo data into a TimeSeriesData Object\n",
    "multi_anomaly_df = pd.read_csv(\"~/Kats/kats/data/multivariate_anomaly_simulated_data.csv\")\n",
    "multi_anomaly_ts = TimeSeriesData(multi_anomaly_df)\n",
    "\n",
    "# Plot the data\n",
    "multi_anomaly_ts.plot(cols=multi_anomaly_ts.value.columns.tolist())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When we train the `MultivariateAnomalyDetector` and plot the results, the first plot gives the time series we previewed above and the second plot gives the overall anomaly scores for the time series.  Since we are using 60 days for training in this example, the first 60 days are not included in the plots below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x1152 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "np.random.seed(10)\n",
    "params = VARParams(maxlags=2)\n",
    "d = MultivariateAnomalyDetector(multi_anomaly_ts, params, training_days=60)\n",
    "anomaly_score_df = d.detector()\n",
    "d.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As we can see above, the overall anomaly score spikes around the end of January.  We can list the specific dates that are anomalies using the `get_anomaly_timepoints` function and specifying the desired significance level (here we use 5%)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Timestamp('2020-01-23 00:00:00'),\n",
       " Timestamp('2020-01-24 00:00:00'),\n",
       " Timestamp('2020-01-25 00:00:00'),\n",
       " Timestamp('2020-01-26 00:00:00'),\n",
       " Timestamp('2020-01-27 00:00:00'),\n",
       " Timestamp('2020-01-28 00:00:00')]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "anomalies = d.get_anomaly_timepoints(alpha=0.05)\n",
    "anomalies"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then using the `get_anomalous_metrics` function we can look at the at the top metrics that are contributing to a multivariate anomaly.  In the case of the anomaly times we found here, we can verify that the largest anomaly scores come from metrics 5 and 6."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>metric</th>\n",
       "      <th>anomaly_score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5</td>\n",
       "      <td>12.757618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6</td>\n",
       "      <td>9.249919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4</td>\n",
       "      <td>2.511899</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  metric  anomaly_score\n",
       "0      5      12.757618\n",
       "1      6       9.249919\n",
       "2      4       2.511899"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d.get_anomalous_metrics(anomalies[0], top_k=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3. Trend detection\n",
    "Trend detection tries to identify significant and prolonged changes in a time series.  Rather than identifying change points, trend detection identifies windows of gradual and prolonged change.\n",
    "\n",
    "`MKDetector` is the trend detection algorithm that we include in Kats, which is based on the non-parametric Mann-Kendall (MK) Test.  What the `MKDetector` essentially does is apply a MK to a window of fied size (specified by the `window_size` argument in the `detector` method) and return the end point of each window for which this test is statistically significant.  Trend windows are detected based on the monotonicity of the increases or decreases in the time series in the window, not the magnitude of the change in the value of the time series over the window.  \n",
    "\n",
    "The test statistic for the MK test is called the Kendall's Tau Coefficient, which ranges from -1 to 1.  \n",
    "* A Tau coefficient of -1 indicates a perfectly monotonic decline\n",
    "* A Tau coefficient of 1 indicates a perfectly monotonic increase\n",
    "* A coefficient of 0 indicates there is no directional trend\n",
    "\n",
    "The MK Test converts the Tau Coefficient (along with the value of `window_size`) to a p-value, and we return change points for which the p-value is smaller than `alpha` (0.05 by default).  For additional control of the intensity of the trends we return, we can use the `threshold` attribute in `MKDetector` to put an absolute lower-bound threshold on the value of the Tau Coeffficients for trend windows that are returned. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "These are the parameters to use when initializing `MKDetector`:\n",
    "* **data**: TimeSeriesData, this is time series data at one-day granularity. This time series can be either univariate or multivariate. We require more than training_days points in each time series.\n",
    "* **threshold**: float, threshold for trend intensity; higher threshold gives trend with high intensity (0.8 by default)\n",
    "* **alpha**: float, significance level (0.05 by default)\n",
    "\n",
    "The full set of parameters for the `detector` method in `MKDetector`, all of which are optional and have default values, are as follows: \n",
    "* **window_size**: int, the number of look back days for checking trend persistence (20 days by default)\n",
    "* **training_days**: int, the number of days for time series smoothing; should be greater or equal to window_size (None by default). If training_days is None, we will perform trend detection on the whole time series; otherwise, we will perform trend detection only for the anchor point using the previous training_days data.\n",
    "\n",
    "* **direction**: string, the direction of the trend to be detected, choose from {\"down\", \"up\", \"both\"}  (\"both\" by default)\n",
    "\n",
    "* **freq**: str, the type of seasonality shown in the time series, choose from {'weekly','monthly','yearly'} (None by default)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Basic Usage"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We begin by simulating some data with weekly seasonality using the `Simulator` class.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from kats.utils.simulator import Simulator\n",
    "\n",
    "sim = Simulator(n=365, start='2020-01-01', freq='D')\n",
    "tsd = sim.trend_shift_sim(noise=200, seasonal_period=7, seasonal_magnitude=0.007,\n",
    "                              cp_arr=[250], intercept = 10000, trend_arr=[40,-20])\n",
    "\n",
    "# plot the simulated data\n",
    "tsd.plot(cols=['value'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can use the `MKDetector` detector to look for a downward trend.  Because the input data has weekly seasonality, will want to smooth the time series using a 7-day rolling average prior to running the detection algorithm.  We can do this by `freq = 'weekly'` in the `detector` method. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1008x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from kats.detectors.trend_mk import MKDetector\n",
    "\n",
    "detector = MKDetector(data=tsd, threshold=.8)\n",
    "# run detector\n",
    "detected_time_points = detector.detector(direction='down', window_size=20, freq='weekly')\n",
    "# plot the results\n",
    "detector.plot(detected_time_points)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Interpret the results\n",
    "The return type of the `detector` method is `List[MKChangePoint]`.  Each `MKChangePoint` returned is the end of an increasing or decreasing trend window of duration `window_size`.  In our example, we are looking for decreasing trend windows of length 20."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MKChangePoint(start_time: 2020-10-03 00:00:00, end_time: 2020-10-03 00:00:00, confidence: 0.9999998244557637, detector_type: kats.detectors.trend_mk.MKDetector, is_multivariate: False, trend_direction: decreasing, Tau: -0.8526315789473684)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cp = detected_time_points[0]\n",
    "cp"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The attributes of `MKChangePoint` beyond those of `TimeSeriesChangePoint` are:\n",
    "* **detector_type:** Always `kats.detectors.trend_mk.MKDetector`     \n",
    "* **is_multivariate:** Whether this is a change point for a multivariate time seires\n",
    "* **trend_direction:** Direction of the trend, either 'increasing' or 'decreasing'\n",
    "* **Tau:** kendall's Tau value for the change point.  This is a float for univariate time series and a dictionary for multivariate time series"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  },
  "metadata": {
   "interpreter": {
    "hash": "5b6e8fba36db23bc4d54e0302cd75fdd75c29d9edcbab68d6cfc74e7e4b30305"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
